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Kevin S. Chan

Kevin Sean Chan – Kevin Chan 0001

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affiliation: U.S. Army Research Laboratory, Adelphi, MD, USA
affiliation (PhD): Georgia Institute of Technology, Atlanta, GA, USA

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2024
[j46]
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Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9(1): 5 (2024)
[j45]
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William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis:
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38(1): 1-21 (2024)
2023
[j44]
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Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley:
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9(2): 304-316 (2023)
[j43]
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Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos A. M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Synthesis of Large-Scale Instant IoT Networks. IEEE Trans. Mob. Comput. 22(3): 1810-1824 (2023)
[j42]
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Kristina Sorensen Wheatman, Fidan Mehmeti, Mark Mahon, Hang Qiu, Kevin S. Chan, Thomas F. La Porta:
Optimal Resource Allocation for Crowdsourced Image Processing. IEEE Trans. Mob. Comput. 22(10): 6110-6125 (2023)
2022
[j41]
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Kevin Chan, Peter Han Joo Chong, Nils Agne Nordbotten:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 60(5): 58 (2022)
[j40]
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Gunjan Verma, Kelvin Marcus, Kevin S. Chan:
Optimizing the quality of information of networked machine learning agents. J. Netw. Comput. Appl. 197: 103243 (2022)
[j39]
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Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33(10): 2509-2523 (2022)
2021
[j38]
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Kevin Chan, Peter H. J. Chong, Frank T. Johnsen:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 59(2): 35 (2021)
[j37]
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Kevin Chan, Peter H. J. Chong, Frank T. Johnsen:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 59(8): 64 (2021)
[j36]
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Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021)
[j35]
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Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. IEEE Trans. Autom. Control. 66(8): 3789-3793 (2021)
[j34]
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Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, Thomas La Porta:
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. IEEE Trans. Mob. Comput. 20(2): 352-365 (2021)
[j33]
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Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. IEEE Trans. Mob. Comput. 20(4): 1574-1589 (2021)
[j32]
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Vajiheh Farhadi, Fidan Mehmeti, Ting He, Thomas F. La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan, Konstantinos Poularakis:
Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds. IEEE/ACM Trans. Netw. 29(2): 779-792 (2021)
2020
[j31]
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Kevin S. Chan, Frank T. Johnsen:
Military Communications and Networks. IEEE Commun. Mag. 58(2): 60 (2020)
[j30]
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Kevin S. Chan, Frank T. Johnsen:
Military Communications and Networks. IEEE Commun. Mag. 58(8): 13 (2020)
[j29]
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Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks 8(2) (2020)
[j28]
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Dimitrios Pylorof, Efstathios Bakolas, Kevin S. Chan:
Design of Robust Lyapunov-Based Observers for Nonlinear Systems With Sum-of-Squares Programming. IEEE Control. Syst. Lett. 4(2): 283-288 (2020)
[j27]
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Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. 38(10): 2400-2417 (2020)
[j26]
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Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-dimensional Distributed Service Networks with Applications. Perform. Evaluation 142: 102110 (2020)
[j25]
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Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta:
NetVision: On-Demand Video Processing in Wireless Networks. IEEE/ACM Trans. Netw. 28(1): 196-209 (2020)
[j24]
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Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris:
Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. 28(4): 1477-1490 (2020)
2019
[j23]
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Frank T. Johnsen, Kevin S. Chan:
Military Communications and Networks. IEEE Commun. Mag. 57(8): 40 (2019)
[j22]
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Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan:
Adaptive Federated Learning in Resource Constrained Edge Computing Systems. IEEE J. Sel. Areas Commun. 37(6): 1205-1221 (2019)
[j21]
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Zongqing Lu, Kevin S. Chan, Shiliang Pu, Thomas La Porta:
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. IEEE Trans. Mob. Comput. 18(7): 1513-1526 (2019)
[j20]
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Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung:
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process. IEEE/ACM Trans. Netw. 27(3): 1272-1288 (2019)
2018
[j19]
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Frank Trethan Johnsen, Kevin S. Chan:
Military Communications. IEEE Commun. Mag. 56(10): 142 (2018)
[j18]
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Tao Zhao, I-Hong Hou, Shiqiang Wang, Kevin Chan:
Red/LeD: An Asymptotically Optimal and Scalable Online Algorithm for Service Caching at the Edge. IEEE J. Sel. Areas Commun. 36(8): 1857-1870 (2018)
[j17]
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Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed analytics network? SIGMETRICS Perform. Evaluation Rev. 46(2): 27-29 (2018)
2017
[j16]
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Kevin S. Chan, Frank T. Johnsen:
Military Communications. IEEE Commun. Mag. 55(10): 10 (2017)
[j15]
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  - journals/complexity/BahulkarSCLC17
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Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh V. Chawla, Omar Lizardo, Kevin S. Chan:
Influence of Personal Preferences on Link Dynamics in Social Networks. Complex. 2017: 4543563:1-4543563:12 (2017)
[j14]
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Jin-Hee Cho, Yating Wang, Ing-Ray Chen, Kevin S. Chan, Ananthram Swami:
A Survey on Modeling and Optimizing Multi-Objective Systems. IEEE Commun. Surv. Tutorials 19(3): 1867-1901 (2017)
[j13]
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Ertugrul Necdet Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu:
Topology Design Games and Dynamics in Adversarial Environments. IEEE J. Sel. Areas Commun. 35(3): 628-642 (2017)
[j12]
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Ting He, Ertugrul Necdet Ciftcioglu, Shiqiang Wang, Kevin S. Chan:
Location Privacy in Mobile Edge Clouds: A Chaff-Based Approach. IEEE J. Sel. Areas Commun. 35(11): 2625-2636 (2017)
[j11]
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Sameet Sreenivasan, Kevin S. Chan, Ananthram Swami, György Korniss, Boleslaw K. Szymanski:
Information Cascades in Feed-Based Networks of Users with Limited Attention. IEEE Trans. Netw. Sci. Eng. 4(2): 120-128 (2017)
[j10]
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Shiqiang Wang, Rahul Urgaonkar, Ting He, Kevin Chan, Murtaza Zafer, Kin K. Leung:
Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs. IEEE Trans. Parallel Distributed Syst. 28(4): 1002-1016 (2017)
[j9]
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Yating Wang, Ing-Ray Chen, Jin-Hee Cho, Ananthram Swami, Kevin S. Chan:
Trust-Based Service Composition and Binding with Multiple Objective Optimization in Service-Oriented Mobile Ad Hoc Networks. IEEE Trans. Serv. Comput. 10(4): 660-672 (2017)
2016
[j8]
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Jin-Hee Cho, Ing-Ray Chen, Kevin S. Chan:
Trust threshold based public key management in mobile ad hoc networks. Ad Hoc Networks 44: 58-75 (2016)
2015
[j7]
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Sibel Adali, Kevin S. Chan, Jin-Hee Cho:
TANDEM: a trust-based agent framework for networked decision making. Comput. Math. Organ. Theory 21(4): 461-490 (2015)
[j6]
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Jin-Hee Cho, Kevin S. Chan, Sibel Adali:
A Survey on Trust Modeling. ACM Comput. Surv. 48(2): 28:1-28:40 (2015)
[j5]
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Rahul Urgaonkar, Shiqiang Wang, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung:
Dynamic service migration and workload scheduling in edge-clouds. Perform. Evaluation 91: 205-228 (2015)
2013
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Jin-Hee Cho, Kevin S. Chan:
Building Trust-Based Sustainable Networks. IEEE Technol. Soc. Mag. 32(2): 32-38 (2013)
2009
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Hossein Pishro-Nik, Kevin Sean Chan, Faramarz Fekri:
Connectivity properties of large-scale sensor networks. Wirel. Networks 15(7): 945-964 (2009)
2008
[j2]
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Kevin Sean Chan, Faramarz Fekri:
A Resiliency-Connectivity metric in wireless sensor networks with key predistribution schemes and node compromise attacks. Phys. Commun. 1(2): 134-145 (2008)
2004
[j1]
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Kevin Sean Chan, Faramarz Fekri:
A block cipher cryptosystem using wavelet transforms over finite fields. IEEE Trans. Signal Process. 52(10): 2975-2991 (2004)

Conference and Workshop Papers

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2024
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Abdulrahman Fahim, Shitong Zhu, Zhiyun Qian, Chengyu Song, Evangelos E. Papalexakis, Supriyo Chakraborty, Kevin S. Chan, Paul L. Yu, Trent Jaeger, Srikanth V. Krishnamurthy:
DNS Exfiltration Guided by Generative Adversarial Networks. EuroS&P 2024: 580-599
2023
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Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops 2023: 752-757
[c85]
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Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. INFOCOM 2023: 1-10
[c84]
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Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM 2023: 464-470
[c83]
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Olena Tkachenko, Sean Harding, Cleon Anderson, Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan:
Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments. MILCOM 2023: 888-893
[c82]
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Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis:
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM 2023: 82-90
[c81]
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Yu Tsung Lee, Rahul George, Haining Chen, Kevin Chan, Trent Jaeger:
Triaging Android Systems Using Bayesian Attack Graphs. SecDev 2023: 171-183
2022
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  - conf/complexnetworks/OliveiraCM22
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  - https://dblp.org/rec/conf/complexnetworks/OliveiraCM22
Diego F. M. Oliveira, Kevin S. Chan, Peter J. Mucha:
The Effects of Message Sorting in the Diffusion of Information in Online Social Media. COMPLEX NETWORKS (1) 2022: 98-107
[c79]
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Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. INFOCOM 2022: 1449-1458
[c78]
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John Corcoran, Eric Graves, Bryan Dawson, Matthew Dwyer, Paul L. Yu, Kevin Chan:
Adaptive Monitoring for Analytics Placement in Tactical Networks. MILCOM 2022: 926-931
[c77]
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Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan, Cleon Anderson, Scott E. Brown:
Enabling Machine Learning on Resource-constrained Tactical Networks. MILCOM 2022: 932-937
2021
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Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Keyu Man, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq, Yu Hao, Guoren Li, Zheng Zhang, Xiaochen Zou:
Eluding ML-based Adblockers With Actionable Adversarial Examples. ACSAC 2021: 541-553
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Norman Jansen, Marco Manso, Andrew Toth, Kevin S. Chan, Trude Hafsøe Bloebaum, Frank T. Johnsen:
NATO Core Services profiling for Hybrid Tactical Networks - Results and Recommendations. ICMCIS 2021: 1-8
[c74]
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Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar:
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. ICML 2021: 4523-4532
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Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan:
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM 2021: 503-508
2020
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Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You do (not) belong here: detecting DPI evasion attacks with context learning. CoNEXT 2020: 183-197
[c71]
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Shasha Li, Shitong Zhu, Sudipta Paul, Amit K. Roy-Chowdhury, Chengyu Song, Srikanth V. Krishnamurthy, Ananthram Swami, Kevin S. Chan:
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency. ECCV (23) 2020: 396-413
[c70]
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  - conf/gamesec/ShiPCVBLKF20
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Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in the Feature Deception Problem. GameSec 2020: 23-44
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Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec 2020: 147-167
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Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan:
Waypoint-based Topology Inference. ICC 2020: 1-6
[c67]
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Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. ICCCN 2020: 1-9
[c66]
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Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS 2020: 595-605
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Claudia Szabo, Vanja Radenovic, Gregory Judd, Dustin Craggs, Kin Leong Lee, Xiaoshan Chen, Kevin Chan:
Optimizing Communication Strategies in Contested and Dynamic Environments. ICECCS 2020: 197-205
[c64]
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Prithwish Basu, Theodoros Salonidis, Brent Kraczek, Sayed M. Saghaian N. E., Ali Sydney, Bongjun Ko, Tom La Porta, Kevin S. Chan:
Decentralized placement of data and analytics in wireless networks for energy-efficient execution. INFOCOM 2020: 486-495
[c63]
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Zhongjie Wang, Shitong Zhu, Yue Cao, Zhiyun Qian, Chengyu Song, Srikanth V. Krishnamurthy, Kevin S. Chan, Tracy D. Braun:
SymTCP: Eluding Stateful Deep Packet Inspection with Automated Discrepancy Discovery. NDSS 2020
[c62]
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  - conf/networking/LuLW0NCP20
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Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking 2020: 172-180
[c61]
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  - conf/secon/WheatmanMMQCP20
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Kristina Sorensen Wheatman, Fidan Mehmeti, Mark Mahon, Hang Qiu, Kevin S. Chan, Thomas F. La Porta:
Optimal Resource Allocation for Crowdsourced Image Processing. SECON 2020: 1-9
2019
[c60]
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Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster:
MaxHedge: Maximizing a Maximum Online. AISTATS 2019: 1851-1859
[c59]
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  - conf/globecom/LuL0WNC19
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Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM 2019: 1-6
[c58]
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Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris:
Multicast-Based Weight Inference in General Network Topologies. ICC 2019: 1-6
[c57]
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  - conf/ijcai/KaliaACCAS19
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Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh:
The Interplay of Emotions and Norms in Multiagent Systems. IJCAI 2019: 371-377
[c56]
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Vajiheh Farhadi, Fidan Mehmeti, Ting He, Tom La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan:
Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds. INFOCOM 2019: 1279-1287
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Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris:
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM 2019: 1774-1782
[c54]
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Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-Dimensional Distributed Service Networks. MASCOTS 2019: 14-26
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  - conf/milcom/LeeHAMC19
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Jongdeog Lee, Suk Min Hwang, Tarek F. Abdelzaher, Kelvin Marcus, Kevin Chan:
Pub/Sub-Sum: A Content Summarization Pub/Sub Protocol for Information-Centric Networks. MILCOM 2019: 847-852
[c52]
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  - conf/sensys/LiuGUMCG19
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Xiaochen Liu, Pradipta Ghosh, Oytun Ulutan, B. S. Manjunath, Kevin S. Chan, Ramesh Govindan:
Caesar: cross-camera complex activity recognition. SenSys 2019: 232-244
[c51]
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  - conf/smartcomp/PoularakisQMCLT19
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Konstantinos Poularakis, Qiaofeng Qin, Kelvin M. Marcus, Kevin S. Chan, Kin K. Leung, Leandros Tassiulas:
Hybrid SDN Control in Mobile Ad Hoc Networks. SMARTCOMP 2019: 110-114
2018
[c50]
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  - conf/asunam/BahulkarSCL18
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Ashwin Bahulkar, Boleslaw K. Szymanski, Kevin S. Chan, Omar Lizardo:
Impact of Attributes on Group Formation. ASONAM 2018: 1250-1257
[c49]
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  - conf/fusion/TuorWLC18
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Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Kevin Chan:
Distributed Machine Learning in Coalition Environments: Overview of Techniques. FUSION 2018: 814-821
[c48]
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  - conf/icdcs/CiftciogluHCSOV18
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Ertugrul N. Ciftcioglu, Rommie L. Hardy, Kevin S. Chan, Lisa Scott, Diego F. M. Oliveira, Gunjan Verma:
Chaff Allocation and Performance for Network Traffic Obfuscation. ICDCS 2018: 1565-1568
[c47]
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Marco Manso, Frank T. Johnsen, Ketil Lund, Kevin S. Chan:
Using MQTT to support mobile tactical force situational awareness. ICMCIS 2018: 1-6
[c46]
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  - conf/infocom/WangTSLM0C18
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Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan:
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. INFOCOM 2018: 63-71
[c45]
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Zongqing Lu, Kevin S. Chan, Thomas La Porta:
A Computing Platform for Video Crowdprocessing Using Deep Learning. INFOCOM 2018: 1430-1438
[c44]
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  - conf/iotdi/QiuLRBCUMG18
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Hang Qiu, Xiaochen Liu, Swati Rallapalli, Archith J. Bency, Kevin Chan, Rahul Urgaonkar, B. S. Manjunath, Ramesh Govindan:
Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking. IoTDI 2018: 48-59
[c43]
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  - conf/milcom/BovetC18
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Gérôme Bovet, Kevin S. Chan:
Reinforcement Learning for Quality of Experience Optimization in Tactical Networks. MILCOM 2018: 1-6
[c42]
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  - conf/milcom/MarcusCHY18
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Kelvin Marcus, Kevin S. Chan, Rommie L. Hardy, Paul L. Yu:
An Environment for Tactical SDN Experimentation. MILCOM 2018: 1-9
[c41]
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Gunjan Verma, Ertugrul N. Ciftcioglu, Ryan Sheatsley, Kevin S. Chan, Lisa Scott:
Network Traffic Obfuscation: An Adversarial Machine Learning Approach. MILCOM 2018: 1-6
2017
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Kevin Chan, Bongjun Ko, Spyridon Mastorakis, Alexander Afanasyev, Lixia Zhang:
Fuzzy Interest Forwarding. AINTEC 2017: 31-37
[c39]
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  - conf/icdcs/HeCWC17
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Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang, Kevin S. Chan:
Location Privacy in Mobile Edge Clouds. ICDCS 2017: 2264-2269
[c38]
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  - conf/iotdi/LuFCP17
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Zongqing Lu, Noor Felemban, Kevin S. Chan, Thomas La Porta:
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract. IoTDI 2017: 279-280
[c37]
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Ertugrul N. Ciftcioglu, Rommie L. Hardy, Lisa M. Scott, Kevin S. Chan:
Efficient chaff-aided obfuscation in resource constrained environments. MILCOM 2017: 97-102
[c36]
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Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. ACM Multimedia 2017: 1663-1671
[c35]
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  - conf/networking/PalCBCS17
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Siddharth Pal, Ertugrul N. Ciftcioglu, Prithwish Basu, Kevin S. Chan, Ananthram Swami:
Decentralized network protection games in adversarial environments. Networking 2017: 1-9
[c34]
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  - conf/uic/GibsonBCKA017
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Christopher Gibson, Pablo Bermell-Garcia, Kevin Chan, Bongjun Ko, Alexander Afanasyev, Lixia Zhang:
Opportunities and challenges for named data networking to increase the agility of military coalitions. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6
[c33]
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  - conf/uic/KoKSBCPM17
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Bongjun Ko, Brent Kraczek, Theodoros Salonidis, Prithwish Basu, Kevin S. Chan, Thomas La Porta, Andreas Martens:
Physics-inspired models for agile code and data in federated edges. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6
[c32]
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Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster:
Data distribution and scheduling for distributed analytics tasks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6
2016
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  - conf/asunam/HorneAC16
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Benjamin D. Horne, Sibel Adali, Kevin S. Chan:
Impact of message sorting on access to novel information in networks. ASONAM 2016: 647-653
[c30]
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  - conf/cdc/PalBCCSC16
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Siddharth Pal, Prithwish Basu, Ertugrul N. Ciftcioglu, Kevin S. Chan, Ananthram Swami, Derya H. Cansever:
Editing network topologies by playing potential games. CDC 2016: 7030-7035
[c29]
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  - conf/complexnetworks/BahulkarSCL16
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Ashwin Bahulkar, Boleslaw K. Szymanski, Kevin S. Chan, Omar Lizardo:
Co-evolution of two networks representing different social relations in NetSense. COMPLEX NETWORKS 2016: 423-434
[c28]
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  - conf/globalsip/FelembanLPC16
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Noor Felemban, Zongqing Lu, Thomas La Porta, Kevin S. Chan:
Video processing of complex activity detection in resource-constrained networks. GlobalSIP 2016: 1345-1348
[c27]
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  - conf/icnp/LuCUP16
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Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta:
On-demand video processing in wireless networks. ICNP 2016: 1-10
[c26]
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  - conf/milcom/ScottMHC16
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Lisa M. Scott, Kelvin Marcus, Rommie L. Hardy, Kevin S. Chan:
Exploring dependencies of networks of multi-genre network experiments. MILCOM 2016: 576-581
[c25]
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I-Hong Hou, Tao Zhao, Shiqiang Wang, Kevin Chan:
Asymptotically optimal algorithm for online reconfiguration of edge-clouds. MobiHoc 2016: 291-300
[c24]
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Ertugrul N. Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu:
Topology design under adversarial dynamics. WiOpt 2016: 274-281
2015
[c23]
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Kevin S. Chan, Kelvin Marcus, Lisa M. Scott, Rommie L. Hardy:
Quality of information approach to improving source selection in tactical networks. FUSION 2015: 566-573
[c22]
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Shiqiang Wang, Rahul Urgaonkar, Kevin S. Chan, Ting He, Murtaza Zafer, Kin K. Leung:
Dynamic service placement for mobile micro-clouds with predicted future costs. ICC 2015: 5504-5510
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Marco Manso, José Maria Alcaraz Calero, Christoph Barz, Trude Hafsoe Bloebaum, Kevin Chan, Norman Jansen, Frank Trethan Johnsen, Garik Markarian, Peter-Paul Meiler, Ian Owens, Joanna Sliwa, Qi Wang:
SOA and Wireless Mobile Networks in the tactical domain: Results from experiments. MILCOM 2015: 593-598
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Kevin S. Chan, Jin-Hee Cho, Theron Trout, Jason Wampler, Andrew Toth, Brian Rivera:
trustd: Trust daemon experimental testbed for network emulation. MILCOM 2015: 641-646
[c19]
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Shiqiang Wang, Kevin S. Chan, Rahul Urgaonkar, Ting He, Kin K. Leung:
Emulation-based study of dynamic service placement in mobile micro-clouds. MILCOM 2015: 1046-1051
[c18]
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Ertugrul N. Ciftcioglu, Kevin S. Chan, Rahul Urgaonkar, Shiqiang Wang, Ting He:
Security-aware service migration for tactical mobile micro-clouds. MILCOM 2015: 1058-1063
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Ertugrul N. Ciftcioglu, Kevin S. Chan, Ananthram Swami, Derya H. Cansever, Prithwish Basu:
Topology control for time-varying contested environments. MILCOM 2015: 1397-1402
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Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin S. Chan, Kin K. Leung:
Dynamic service migration in mobile edge-clouds. Networking 2015: 1-9
2014
[c15]
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Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh:
A Model of Trust, Moods, and Emotions in Multiagent Systems and its Empirical Evaluation. TRUST@AAMAS 2014: 1-11
[c14]
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Sujoy Sikdar, Sibel Adali, Md. Tanvir Al Amin, Tarek F. Abdelzaher, Kevin S. Chan, Jin-Hee Cho, Byungkyu Kang, John O'Donovan:
Finding true and credible information on Twitter. FUSION 2014: 1-8
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Shiqiang Wang, Rahul Urgaonkar, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung:
Mobility-Induced Service Migration in Mobile Micro-clouds. MILCOM 2014: 835-840
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Jin-Hee Cho, Kevin S. Chan, Dariusz G. Mikulski:
Trust-Based Information and Decision Fusion for Military Convoy Operations. MILCOM 2014: 1387-1392
2013
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Jin-Hee Cho, Ing-Ray Chen, Yating Wang, Kevin S. Chan:
Trust-Based Multi-objective Optimization for Node-to-Task Assignment in Coalition Networks. ICPADS 2013: 372-379
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Yating Wang, Ing-Ray Chen, Jin-Hee Cho, Kevin S. Chan, Ananthram Swami:
Trust-Based Service Composition and Binding for Tactical Networks with Multiple Objectives. MILCOM 2013: 1862-1867
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Xinlei Wang, Jin-Hee Cho, Kevin S. Chan, Moonjeong Chang, Ananthram Swami, Prasant Mohapatra:
Trust and independence aware decision fusion in distributed networks. PerCom Workshops 2013: 481-486
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Jin-Hee Cho, Kevin S. Chan, Ing-Ray Chen:
Composite trust-based public key management in mobile ad hoc networks. SAC 2013: 1949-1956
2012
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Kevin Chan, Sibel Adali:
An agent based model for trust and information sharing in networked systems. CogSIMA 2012: 88-95
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Gunjan Verma, Ananthram Swami, Kevin S. Chan:
The effect of zealotry in the naming game model of opinion dynamics. MILCOM 2012: 1-6
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Kevin S. Chan, Jin-Hee Cho, Sibel Adali:
Composite Trust Model for an Information Sharing Scenario. UIC/ATC 2012: 439-446
2008
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Ramanan Subramanian, Kevin S. Chan, Faramarz Fekri:
Analysis of latency in secure wireless sensor networks with key predistribution. ACSCC 2008: 2120-2124
2006
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Farshid Delgosha, Erman Ayday, Kevin Sean Chan, Faramarz Fekri:
Security Services in Wireless Sensor Networks Using Sparse Random Coding. SECON 2006: 40-49
2005
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Kevin Sean Chan, Hossein Pishro-Nik, Faramarz Fekri:
Analysis of hierarchical algorithms for wireless sensor network routing protocols. WCNC 2005: 1830-1835
2004
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Hossein Pishro-Nik, Kevin Sean Chan, Faramarz Fekri:
On connectivity properties of large-scale sensor networks. SECON 2004: 498-507

Informal and Other Publications

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2024
[i34]
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Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth:
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR abs/2405.03636 (2024)
[i33]
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  - journals/corr/abs-2405-11089
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Eric Graves, Jake B. Perazzone, Kevin S. Chan:
Optimal Update Policy for the Monitoring of Distributed Sources. CoRR abs/2405.11089 (2024)
2023
[i32]
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Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR abs/2308.03081 (2023)
[i31]
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  - journals/corr/abs-2308-05498
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Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR abs/2308.05498 (2023)
[i30]
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  - journals/corr/abs-2309-01281
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Mustafa Abdallah, Saurabh Bagchi, Shaunak D. Bopardikar, Kevin Chan, Xing Gao, Murat Kantarcioglu, Congmiao Li, Peng Liu, Quanyan Zhu:
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions. CoRR abs/2309.01281 (2023)
2022
[i29]
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  - journals/corr/abs-2201-07912
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Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. CoRR abs/2201.07912 (2022)
[i28]
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  - journals/corr/abs-2204-06652
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Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR abs/2204.06652 (2022)
[i27]
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  - journals/corr/abs-2205-00566
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Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin S. Chan, Trent Jaeger, Patrick D. McDaniel:
Adversarial Plannning. CoRR abs/2205.00566 (2022)
[i26]
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  - journals/corr/abs-2212-08496
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Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. CoRR abs/2212.08496 (2022)
2021
[i25]
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  - journals/corr/abs-2101-09113
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Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar:
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. CoRR abs/2101.09113 (2021)
[i24]
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  - journals/corr/abs-2102-04282
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Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. CoRR abs/2102.04282 (2021)
2020
[i23]
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  - journals/corr/abs-2001-10999
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Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq:
A4 : Evading Learning-based Adblockers. CoRR abs/2001.10999 (2020)
[i22]
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  - journals/corr/abs-2002-04244
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Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin S. Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. CoRR abs/2002.04244 (2020)
[i21]
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  - journals/corr/abs-2002-12309
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Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020)
[i20]
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Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. CoRR abs/2003.05822 (2020)
[i19]
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  - journals/corr/abs-2007-02977
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Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan:
Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR abs/2007.02977 (2020)
[i18]
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  - journals/corr/abs-2007-09763
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Shasha Li, Shitong Zhu, Sudipta Paul, Amit K. Roy-Chowdhury, Chengyu Song, Srikanth V. Krishnamurthy, Ananthram Swami, Kevin S. Chan:
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency. CoRR abs/2007.09763 (2020)
[i17]
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  - journals/corr/abs-2011-01514
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Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning. CoRR abs/2011.01514 (2020)
[i16]
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  - journals/corr/abs-2011-04893
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Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-dimensional Distributed Service Networks with Applications. CoRR abs/2011.04893 (2020)
2019
[i15]
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  - journals/corr/abs-1901-02414
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Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed service network. CoRR abs/1901.02414 (2019)
[i14]
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  - journals/corr/abs-1902-00658
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Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. CoRR abs/1902.00658 (2019)
[i13]
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  - journals/corr/abs-1904-05961
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Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. CoRR abs/1904.05961 (2019)
[i12]
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  - journals/corr/abs-1905-04833
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Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in Feature Deception Games. CoRR abs/1905.04833 (2019)
[i11]
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  - journals/corr/abs-1905-09763
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Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
Geometric Laplacian Eigenmap Embedding. CoRR abs/1905.09763 (2019)
2018
[i10]
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  - journals/corr/abs-1802-03072
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Spyridon Mastorakis, Kevin Chan, Bongjun Ko, Alexander Afanasyev, Lixia Zhang:
Experimentation With Fuzzy Interest Forwarding in Named Data Networking. CoRR abs/1802.03072 (2018)
[i9]
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  - journals/corr/abs-1804-05271
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Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan:
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. CoRR abs/1804.05271 (2018)
[i8]
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  - journals/corr/abs-1810-11843
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-11843
Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang:
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees. CoRR abs/1810.11843 (2018)
2017
[i7]
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  dblp key:
  - journals/corr/abs-1709-03133
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  - https://dblp.org/rec/journals/corr/abs-1709-03133
Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang, Kevin S. Chan:
Location Privacy in Mobile Edge Clouds: A Chaff-based Approach. CoRR abs/1709.03133 (2017)
[i6]
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  dblp key:
  - journals/corr/abs-1709-07401
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  - https://dblp.org/rec/journals/corr/abs-1709-07401
Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh V. Chawla, Omar Lizardo, Kevin S. Chan:
Influence of Personal Preferences on Link Dynamics in Social Networks. CoRR abs/1709.07401 (2017)
[i5]
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  dblp key:
  - journals/corr/abs-1709-09503
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  - https://dblp.org/rec/journals/corr/abs-1709-09503
Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. CoRR abs/1709.09503 (2017)
2015
[i4]
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  dblp key:
  - journals/corr/WangUCHZL15
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  - https://dblp.org/rec/journals/corr/WangUCHZL15
Shiqiang Wang, Rahul Urgaonkar, Kevin S. Chan, Ting He, Murtaza Zafer, Kin K. Leung:
Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs. CoRR abs/1503.02735 (2015)
[i3]
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  - journals/corr/WangUHZCL15
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  - https://dblp.org/rec/journals/corr/WangUHZCL15
Shiqiang Wang, Rahul Urgaonkar, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung:
Mobility-Induced Service Migration in Mobile Micro-Clouds. CoRR abs/1503.05141 (2015)
[i2]
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  - journals/corr/WangUZHCL15
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Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin S. Chan, Kin K. Leung:
Dynamic Service Migration in Mobile Edge-Clouds. CoRR abs/1506.05261 (2015)
[i1]
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  dblp key:
  - journals/corr/SreenivasanCSKS15
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  - https://dblp.org/rec/journals/corr/SreenivasanCSKS15
Sameet Sreenivasan, Kevin S. Chan, Ananthram Swami, György Korniss, Boleslaw K. Szymanski:
Information Cascades in Feed-based Networks of Users with Limited Attention. CoRR abs/1508.06950 (2015)

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