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Amir Houmansadr

Amir Houman Sadr

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affiliation: University of Massachusetts Amherst, MA, USA

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Books and Theses

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2012
[b1]
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Amir Houmansadr:
Design, analysis, and implementation of effective network flow watermarking schemes. University of Illinois Urbana-Champaign, USA, 2012

Journal Articles

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2023
[j18]
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Saeede Enayati, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Location Privacy Protection for UAVs in Package Delivery and IoT Data Collection. IEEE Internet Things J. 10(23): 20586-20601 (2023)
[j17]
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Ardavan Bozorgi, Alireza Bahramali, Fatemeh Rezaei, Amirhossein Ghafari, Amir Houmansadr, Ramin Soltani, Dennis Goeckel, Don Towsley:
I Still Know What You Did Last Summer: Inferring Sensitive User Activities on Messaging Applications Through Traffic Analysis. IEEE Trans. Dependable Secur. Comput. 20(5): 4135-4153 (2023)
2022
[j16]
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Steffen Wendzel, Wojciech Mazurczyk, Luca Caviglione, Amir Houmansadr:
Emerging topics in defending networked systems. Future Gener. Comput. Syst. 128: 317-319 (2022)
[j15]
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Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. IEEE Internet Things J. 9(23): 23348-23365 (2022)
[j14]
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Xinyu Tang, Milad Nasr, Saeed Mahloujifar, Virat Shejwalkar, Liwei Song, Amir Houmansadr, Prateek Mittal:
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks. Proc. Priv. Enhancing Technol. 2022(4): 332-350 (2022)
2021
[j13]
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Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Privacy Loss Due to Time Series Matching of Dependent Users. IEEE Commun. Lett. 25(4): 1079-1083 (2021)
2020
[j12]
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Packet Insertion. IEEE Trans. Commun. 68(6): 3401-3414 (2020)
[j11]
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Invisible Flow Fingerprinting. IEEE Trans. Inf. Forensics Secur. 15: 345-360 (2020)
[j10]
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy of Dependent Users Against Statistical Matching. IEEE Trans. Inf. Theory 66(9): 5842-5865 (2020)
[j9]
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Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. IEEE Wirel. Commun. Lett. 9(11): 2005-2009 (2020)
2019
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Matching Anonymized and Obfuscated Time Series to Users' Profiles. IEEE Trans. Inf. Theory 65(2): 724-741 (2019)
2017
[j7]
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Fatemeh Rezaei, Amir Houmansadr:
TagIt: Tagging Network Flows using Blind Fingerprints. Proc. Priv. Enhancing Technol. 2017(4): 290-307 (2017)
[j6]
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Zarrin Montazeri, Amir Houmansadr, Hossein Pishro-Nik:
Achieving Perfect Location Privacy in Wireless Devices Using Anonymization. IEEE Trans. Inf. Forensics Secur. 12(11): 2683-2698 (2017)
[j5]
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Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov:
SWEET: Serving the Web by Exploiting Email Tunnels. IEEE/ACM Trans. Netw. 25(3): 1517-1527 (2017)
2016
[j4]
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Richard McPherson, Amir Houmansadr, Vitaly Shmatikov:
CovertCast: Using Live Streaming to Evade Internet Censorship. Proc. Priv. Enhancing Technol. 2016(3): 212-225 (2016)
2014
[j3]
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Amir Houmansadr, Negar Kiyavash, Nikita Borisov:
Non-Blind Watermarking of Network Flows. IEEE/ACM Trans. Netw. 22(4): 1232-1244 (2014)
2013
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Saman A. Zonouz, Amir Houmansadr, Robin Berthier, Nikita Borisov, William H. Sanders:
Secloud: A cloud-based comprehensive and lightweight security solution for smartphones. Comput. Secur. 37: 215-227 (2013)
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Amir Houmansadr, Nikita Borisov:
BotMosaic: Collaborative network watermark for the detection of IRC-based botnets. J. Syst. Softw. 86(3): 707-715 (2013)

Conference and Workshop Papers

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2024
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Bo Guan, Shuangqing Wei, Amir Houmansadr, Hossein Pishro-Nik, Dennis Goeckel:
Optimal Obfuscation to Protect Client Privacy in Federated Learning. CISS 2024: 1-6
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Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr:
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning. ESORICS (1) 2024: 187-207
[c74]
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Diwen Xue, Michalis Kallitsis, Amir Houmansadr, Roya Ensafi:
Fingerprinting Obfuscated Proxy Traffic with Encapsulated TLS Handshakes. USENIX Security Symposium 2024
[c73]
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Katherine Avery, Amir Houmansadr, David D. Jensen:
The Effect of Alter Ego Accounts on A/B Tests in Social Networks. WWW (Companion Volume) 2024: 565-568
2023
[c72]
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Ali Zohaib, Jade Sheffey, Amir Houmansadr:
Investigating Traffic Analysis Attacks on Apple iCloud Private Relay. AsiaCCS 2023: 773-784
[c71]
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Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr:
Realistic Website Fingerprinting By Augmenting Network Traces. CCS 2023: 1035-1049
[c70]
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Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr:
Stealing the Decoding Algorithms of Language Models. CCS 2023: 1835-1849
[c69]
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Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. ICCV 2023: 4707-4717
[c68]
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Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr:
Effectively Using Public Data in Privacy Preserving Machine Learning. ICML 2023: 25718-25732
[c67]
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Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar:
On the Pitfalls of Security Evaluation of Robust Federated Learning. SP (Workshops) 2023: 57-68
[c66]
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Hamid Mozaffari, Virat Shejwalkar, Amir Houmansadr:
Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks. USENIX Security Symposium 2023: 1721-1738
[c65]
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Mingshi Wu, Jackson Sippe, Danesh Sivakumar, Jack Burg, Peter Anderson, Xiaokang Wang, Kevin Bock, Amir Houmansadr, Dave Levin, Eric Wustrow:
How the Great Firewall of China Detects and Blocks Fully Encrypted Traffic. USENIX Security Symposium 2023: 2653-2670
2022
[c64]
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Saeede Enayati, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Constrained Obfuscation to Thwart Pattern Matching Attacks. ISIT 2022: 643-648
[c63]
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Saeede Enayati, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Privacy-Preserving Path-Planning for UAVs. ISNCC 2022: 1-6
[c62]
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Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar:
Security Analysis of SplitFed Learning. SenSys 2022: 987-993
[c61]
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Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage:
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning. SP 2022: 1354-1371
[c60]
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Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal:
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. USENIX Security Symposium 2022: 1433-1450
2021
[c59]
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Virat Shejwalkar, Amir Houmansadr:
Membership Privacy for Machine Learning Models Through Knowledge Transfer. AAAI 2021: 9549-9557
[c58]
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Fatemeh Rezaei, Amir Houmansadr:
FINN: Fingerprinting Network Flows using Neural Networks. ACSAC 2021: 1011-1024
[c57]
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Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. CCS 2021: 126-140
[c56]
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Virat Shejwalkar, Amir Houmansadr:
Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning. NDSS 2021
[c55]
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Milad Nasr, Alireza Bahramali, Amir Houmansadr:
Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations. USENIX Security Symposium 2021: 2705-2722
2020
[c54]
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Alice, Bob, Carol, Jan Beznazwy, Amir Houmansadr:
How China Detects and Blocks Shadowsocks. Internet Measurement Conference 2020: 111-124
[c53]
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Bo Guan, Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Sequence Obfuscation to Thwart Pattern Matching Attacks. ISIT 2020: 884-889
[c52]
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Alireza Bahramali, Amir Houmansadr, Ramin Soltani, Dennis Goeckel, Don Towsley:
Practical Traffic Analysis Attacks on Secure Messaging Applications. NDSS 2020
[c51]
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Hamid Mozaffari, Amir Houmansadr:
Heterogeneous Private Information Retrieval. NDSS 2020
[c50]
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Milad Nasr, Hadi Zolfaghari, Amir Houmansadr, Amirhossein Ghafari:
MassBrowser: Unblocking the Censored Web for the Masses, by the Masses. NDSS 2020
[c49]
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Fatemeh Rezaei, Shahrzad Naseri, Ittay Eyal, Amir Houmansadr:
The Bitcoin Hunter: Detecting Bitcoin Traffic over Encrypted Channels. SecureComm (1) 2020: 152-171
[c48]
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anonymous, Arian Akhavan Niaki, Nguyen Phong Hoang, Phillipa Gill, Amir Houmansadr:
Triplet Censors: Demystifying Great Firewall's DNS Censorship Behavior. FOCI @ USENIX Security Symposium 2020
2019
[c47]
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Virat Shejwalkar, Amir Houmansadr, Hossein Pishro-Nik, Dennis Goeckel:
Revisiting utility metrics for location privacy-preserving mechanisms. ACSAC 2019: 313-327
[c46]
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Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CISS 2019: 1-6
[c45]
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Hamid Mozaffari, Amir Houmansadr, Arun Venkataramani:
Blocking-Resilient Communications in Information-Centric Networks Using Router Redirection. GLOBECOM Workshops 2019: 1-6
[c44]
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Milad Nasr, Sadegh Farhang, Amir Houmansadr, Jens Grossklags:
Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory. NDSS 2019
[c43]
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Milad Nasr, Reza Shokri, Amir Houmansadr:
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. IEEE Symposium on Security and Privacy 2019: 739-753
[c42]
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Zimo Chai, Amirhossein Ghafari, Amir Houmansadr:
On the Importance of Encrypted-SNI (ESNI) to Censorship Circumvention. FOCI @ USENIX Security Symposium 2019
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Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. WCNC 2019: 1-6
2018
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Bit Insertion in Packets. Allerton 2018: 1065-1072
[c39]
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Hosein Mohammadi Makrani, Setareh Rafatirad, Amir Houmansadr, Houman Homayoun:
Main-Memory Requirements of Big Data Applications on Commodity Server Platform. CCGrid 2018: 653-660
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Milad Nasr, Reza Shokri, Amir Houmansadr:
Machine Learning with Membership Privacy using Adversarial Regularization. CCS 2018: 634-646
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Milad Nasr, Alireza Bahramali, Amir Houmansadr:
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning. CCS 2018: 1962-1976
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Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy Against Statistical Matching: Inter-User Correlation. ISIT 2018: 1036-1040
2017
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Towards provably invisible network flow fingerprints. ACSSC 2017: 258-262
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Milad Nasr, Hadi Zolfaghari, Amir Houmansadr:
The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing Attacks. CCS 2017: 2037-2052
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Milad Nasr, Amir Houmansadr, Arya Mazumdar:
Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis. CCS 2017: 2053-2069
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Fundamental limits of location privacy using anonymization. CISS 2017: 1-6
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A. Pinar Ozisik, Gavin Andresen, George Bissias, Amir Houmansadr, Brian Neil Levine:
Graphene: A New Protocol for Block Propagation Using Set Reconciliation. DPM/CBT@ESORICS 2017: 420-428
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Limits of location privacy under anonymization and obfuscation. ISIT 2017: 764-768
2016
[c28]
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Covert communications on renewal packet channels. Allerton 2016: 548-555
[c27]
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Hadi Zolfaghari, Amir Houmansadr:
Practical Censorship Evasion Leveraging Content Delivery Networks. CCS 2016: 1715-1726
[c26]
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Milad Nasr, Amir Houmansadr:
GAME OF DECOYS: Optimal Decoy Routing Through Game Theory. CCS 2016: 1727-1738
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Zarrin Montazeri, Amir Houmansadr, Hossein Pishro-Nik:
Defining perfect location privacy using anonymization. CISS 2016: 204-209
[c24]
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Zarrin Montazeri, Amir Houmansadr, Hossein Pishro-Nik:
Achieving perfect location privacy in Markov models using anonymization. ISITA 2016: 355-359
2015
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Ali Zand, Amir Houmansadr, Giovanni Vigna, Richard A. Kemmerer, Christopher Kruegel:
Know Your Achilles' Heel: Automatic Detection of Network Critical Services. ACSAC 2015: 41-50
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Covert communications on Poisson packet channels. Allerton 2015: 1046-1052
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John Holowczak, Amir Houmansadr:
CacheBrowser: Bypassing Chinese Censorship without Proxies Using Cached Content. CCS 2015: 70-83
2014
[c20]
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Amir Houmansadr, Edmund L. Wong, Vitaly Shmatikov:
No Direction Home: The True Cost of Routing Around Decoys. NDSS 2014
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Chad Brubaker, Amir Houmansadr, Vitaly Shmatikov:
CloudTransport: Using Cloud Storage for Censorship-Resistant Networking. Privacy Enhancing Technologies 2014: 1-20
2013
[c18]
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Amir Houmansadr, Thomas J. Riedl, Nikita Borisov, Andrew C. Singer:
I want my voice to be heard: IP over Voice-over-IP for unobservable censorship circumvention. NDSS 2013
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Amir Houmansadr, Nikita Borisov:
The Need for Flow Fingerprints to Link Correlated Network Flows. Privacy Enhancing Technologies 2013: 205-224
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Amir Houmansadr, Chad Brubaker, Vitaly Shmatikov:
The Parrot Is Dead: Observing Unobservable Network Communications. IEEE Symposium on Security and Privacy 2013: 65-79
2012
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Qiyan Wang, Xun Gong, Giang T. K. Nguyen, Amir Houmansadr, Nikita Borisov:
CensorSpoofer: asymmetric communication using IP spoofing for censorship-resistant web browsing. CCS 2012: 121-132
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Saman A. Zonouz, Amir Houmansadr, Parisa Haghani:
EliMet: Security metric elicitation in power grid critical infrastructures by observing system administrators' responsive behavior. DSN 2012: 1-12
2011
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Casey Cipriano, Ali Zand, Amir Houmansadr, Christopher Kruegel, Giovanni Vigna:
Nexat: a history-based approach to predict attacker actions. ACSAC 2011: 383-392
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Amir Houmansadr, Giang T. K. Nguyen, Matthew Caesar, Nikita Borisov:
Cirripede: circumvention infrastructure using router redirection with plausible deniability. CCS 2011: 187-200
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Amir Houmansadr, Saman A. Zonouz, Robin Berthier:
A cloud-based intrusion detection and response system for mobile phones. DSN Workshops 2011: 31-32
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Amir Houmansadr, Nikita Borisov:
Towards improving network flow watermarks using the repeat-accumulate codes. ICASSP 2011: 1852-1855
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Shishir Nagaraja, Amir Houmansadr, Pratch Piyawongwisal, Vijit Singh, Pragya Agarwal, Nikita Borisov:
Stegobot: A Covert Social Network Botnet. Information Hiding 2011: 299-313
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Amir Houmansadr, Nikita Borisov:
CoCo: Coding-Based Covert Timing Channels for Network Flows. Information Hiding 2011: 314-328
[c7]
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Amir Houmansadr, Nikita Borisov:
SWIRL: A Scalable Watermark to Detect Correlated Network Flows. NDSS 2011
2009
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Amir Houmansadr, Negar Kiyavash, Nikita Borisov:
Multi-flow attack resistant watermarks for network flows. ICASSP 2009: 1497-1500
[c5]
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Amir Houmansadr, Negar Kiyavash, Nikita Borisov:
RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows. NDSS 2009
2008
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Negar Kiyavash, Amir Houmansadr, Nikita Borisov:
Multi-flow Attacks Against Network Flow Watermarking Schemes. USENIX Security Symposium 2008: 307-320
2006
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Amir Houman Sadr, Shahrokh Ghaemmaghami:
A Collusion-Resistant Video Watermarking Scheme. Information Hiding 2006: 343-354
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Amir Houmansadr, Hamed Pirsiavash, Shahrokh Ghaemmaghami:
Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect. SIGMAP 2006: 252-259
2005
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Amir Houman Sadr, Shahrokh Ghaemmaghami:
Robustness Enhancement of Content-Based Watermarks Using Entropy Masking Effect. IWDW 2005: 444-458

Editorship

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2016
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Amir Houmansadr, Prateek Mittal:
6th USENIX Workshop on Free and Open Communications on the Internet, FOCI '16, Austin, TX, USA, August 8, 2016. USENIX Association 2016 [contents]

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2024
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Hyejun Jeong, Shiqing Ma, Amir Houmansadr:
SoK: Challenges and Opportunities in Federated Unlearning. CoRR abs/2403.02437 (2024)
[i52]
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Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr:
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning. CoRR abs/2403.06319 (2024)
[i51]
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Ali Naseh, Katherine Thai, Mohit Iyyer, Amir Houmansadr:
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. CoRR abs/2404.13784 (2024)
[i50]
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Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr:
OSLO: One-Shot Label-Only Membership Inference Attacks. CoRR abs/2405.16978 (2024)
[i49]
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Sajjad Amini, Mohammadreza Teymoorianfard, Shiqing Ma, Amir Houmansadr:
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification. CoRR abs/2406.05927 (2024)
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Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR abs/2406.14517 (2024)
[i47]
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Ali Naseh, Jaechul Roh, Eugene Bagdasaryan, Amir Houmansadr:
Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors. CoRR abs/2406.15213 (2024)
[i46]
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Dzung Pham, Jade Sheffey, Chau Minh Pham, Amir Houmansadr:
ProxyGPT: Enabling Anonymous Queries in AI Chatbots with (Un)Trustworthy Browser Proxies. CoRR abs/2407.08792 (2024)
2023
[i45]
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Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr:
On the Risks of Stealing the Decoding Algorithms of Language Models. CoRR abs/2303.04729 (2023)
[i44]
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Alireza Bahramali, Ardavan Bozorgi, Amir Houmansadr:
Realistic Website Fingerprinting By Augmenting Network Trace. CoRR abs/2309.10147 (2023)
[i43]
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Dzung Pham, Shreyas Kulkarni, Amir Houmansadr:
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation. CoRR abs/2310.19163 (2023)
[i42]
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Ali Naseh, Jaechul Roh, Amir Houmansadr:
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication. CoRR abs/2312.03692 (2023)
[i41]
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Yuefeng Peng, Ali Naseh, Amir Houmansadr:
Diffence: Fencing Membership Privacy With Diffusion Models. CoRR abs/2312.04692 (2023)
[i40]
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Ali Naseh, Jaechul Roh, Amir Houmansadr:
Understanding (Un)Intended Memorization in Text-to-Image Generative Models. CoRR abs/2312.07550 (2023)
2022
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  - journals/corr/abs-2205-10454
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Hamid Mozaffari, Amir Houmansadr:
E2FL: Equal and Equitable Federated Learning. CoRR abs/2205.10454 (2022)
[i38]
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Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. CoRR abs/2211.00453 (2022)
[i37]
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Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar:
Security Analysis of SplitFed Learning. CoRR abs/2212.01716 (2022)
2021
[i36]
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  - journals/corr/abs-2102-00918
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Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. CoRR abs/2102.00918 (2021)
[i35]
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  - journals/corr/abs-2108-10241
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Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage:
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning. CoRR abs/2108.10241 (2021)
[i34]
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  - journals/corr/abs-2108-12336
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Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks. CoRR abs/2108.12336 (2021)
[i33]
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  - journals/corr/abs-2110-04350
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Hamid Mozaffari, Virat Shejwalkar, Amir Houmansadr:
FSL: Federated Supermask Learning. CoRR abs/2110.04350 (2021)
[i32]
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  - journals/corr/abs-2110-08324
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Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal:
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. CoRR abs/2110.08324 (2021)
2020
[i31]
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  - journals/corr/abs-2002-06495
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Milad Nasr, Alireza Bahramali, Amir Houmansadr:
Blind Adversarial Network Perturbations. CoRR abs/2002.06495 (2020)
[i30]
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  - journals/corr/abs-2005-00508
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Alireza Bahramali, Ramin Soltani, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Practical Traffic Analysis Attacks on Secure Messaging Applications. CoRR abs/2005.00508 (2020)
[i29]
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  - journals/corr/abs-2007-06119
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Nazanin Takbiri, Minting Chen, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Privacy Loss due to Time Series Matching of Dependent Users. CoRR abs/2007.06119 (2020)
[i28]
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  - journals/corr/abs-2007-11524
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Milad Nasr, Reza Shokri, Amir Houmansadr:
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. CoRR abs/2007.11524 (2020)
2019
[i27]
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Nazanin Takbiri, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Limits of Privacy in Bayesian Time Series Matching. CoRR abs/1902.06404 (2019)
[i26]
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  - journals/corr/abs-1903-11640
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Packet Insertion. CoRR abs/1903.11640 (2019)
[i25]
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  - journals/corr/abs-1906-06589
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Virat Shejwalkar, Amir Houmansadr:
Reconciling Utility and Membership Privacy via Knowledge Distillation. CoRR abs/1906.06589 (2019)
[i24]
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Nazanin Takbiri, Virat Shejwalkar, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Leveraging Prior Knowledge Asymmetries in the Design of Location Privacy-Preserving Mechanisms. CoRR abs/1912.02209 (2019)
[i23]
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Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr:
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. CoRR abs/1912.11279 (2019)
2018
[i22]
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy against Statistical Matching: Inter-User Correlation. CoRR abs/1805.01296 (2018)
[i21]
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  - journals/corr/abs-1806-11108
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Privacy of Dependent Users Against Statistical Matching. CoRR abs/1806.11108 (2018)
[i20]
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  - journals/corr/abs-1807-05852
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Milad Nasr, Reza Shokri, Amir Houmansadr:
Machine Learning with Membership Privacy using Adversarial Regularization. CoRR abs/1807.05852 (2018)
[i19]
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  - journals/corr/abs-1808-07285
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Milad Nasr, Alireza Bahramali, Amir Houmansadr:
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning. CoRR abs/1808.07285 (2018)
[i18]
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  - journals/corr/abs-1809-08514
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Invisible Flow Fingerprinting. CoRR abs/1809.08514 (2018)
[i17]
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  - journals/corr/abs-1809-10289
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Nazanin Takbiri, Ramin Soltani, Dennis L. Goeckel, Amir Houmansadr, Hossein Pishro-Nik:
Asymptotic Loss in Privacy due to Dependency in Gaussian Traces. CoRR abs/1809.10289 (2018)
[i16]
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  - journals/corr/abs-1810-03510
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Bit Insertion in Packets. CoRR abs/1810.03510 (2018)
[i15]
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Milad Nasr, Reza Shokri, Amir Houmansadr:
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. CoRR abs/1812.00910 (2018)
2017
[i14]
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Milad Nasr, Sadegh Farhang, Amir Houmansadr, Jens Grossklags:
Enemy At the Gateways: A Game Theoretic Approach to Proxy Distribution. CoRR abs/1709.04030 (2017)
[i13]
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Nazanin Takbiri, Amir Houmansadr, Dennis L. Goeckel, Hossein Pishro-Nik:
Matching Anonymized and Obfuscated Time Series to Users' Profiles. CoRR abs/1710.00197 (2017)
[i12]
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  - journals/corr/abs-1711-10079
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Towards Provably Invisible Network Flow Fingerprints. CoRR abs/1711.10079 (2017)
2016
[i11]
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  - journals/corr/SoltaniGTH16
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Covert Communications on Renewal Packet Channels. CoRR abs/1610.00368 (2016)
[i10]
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Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Covert Communications on Poisson Packet Channels. CoRR abs/1610.00381 (2016)
[i9]
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  - journals/corr/MontazeriHP16
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Zarrin Montazeri, Amir Houmansadr, Hossein Pishro-Nik:
Achieving Perfect Location Privacy in Wireless Devices Using Anonymization. CoRR abs/1610.05210 (2016)
[i8]
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  - journals/corr/BissasLOAH16
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George Bissias, Brian Neil Levine, A. Pinar Ozisik, Gavin Andresen, Amir Houmansadr:
An Analysis of Attacks on Blockchain Consensus. CoRR abs/1610.07985 (2016)
2012
[i7]
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  - journals/corr/abs-1203-1390
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Negar Kiyavash, Amir Houmansadr, Nikita Borisov:
Multi-Flow Attacks Against Network Flow Watermarks: Analysis and Countermeasures. CoRR abs/1203.1390 (2012)
[i6]
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  - journals/corr/abs-1203-1568
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Amir Houmansadr, Nikita Borisov:
BotMosaic: Collaborative Network Watermark for Botnet Detection. CoRR abs/1203.1568 (2012)
[i5]
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  - journals/corr/abs-1203-1673
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Qiyan Wang, Xun Gong, Giang T. K. Nguyen, Amir Houmansadr, Nikita Borisov:
CensorSpoofer: Asymmetric Communication with IP Spoofing for Censorship-Resistant Web Browsing. CoRR abs/1203.1673 (2012)
[i4]
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  - journals/corr/abs-1203-2273
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Amir Houmansadr, Negar Kiyavash, Nikita Borisov:
Non-blind watermarking of network flows. CoRR abs/1203.2273 (2012)
[i3]
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  - journals/corr/abs-1207-2683
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Amir Houmansadr, Thomas J. Riedl, Nikita Borisov, Andrew C. Singer:
IP over Voice-over-IP for censorship circumvention. CoRR abs/1207.2683 (2012)
[i2]
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  - journals/corr/abs-1211-3191
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Amir Houmansadr, Wenxuan Zhou, Matthew Caesar, Nikita Borisov:
SWEET: Serving the Web by Exploiting Email Tunnels. CoRR abs/1211.3191 (2012)
2011
[i1]
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  - journals/corr/abs-1107-2031
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Shishir Nagaraja, Amir Houmansadr, Pratch Piyawongwisal, Vijit Singh, Pragya Agarwal, Nikita Borisov:
Stegobot: construction of an unobservable communication network leveraging social behavior. CoRR abs/1107.2031 (2011)

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