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ORCIDMojan Javaheripi
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2020 – today
- 2024
[c20]Chuxu Zhang
, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu:
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2024: 6749-6750- [i17]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - 2023
- [b1]Mojan Javaheripi:
Holistic Algorithm and System Co-Optimization for Trustworthy and Platform-Aware Deep Learning. University of California, San Diego, USA, 2023 - [j8]Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar:
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19(1): 7:1-7:20 (2023) - [j7]Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar:
Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings. ACM Trans. Design Autom. Electr. Syst. 28(6): 88:1-88:32 (2023) - [c19]Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels:
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. CCS 2023: 1212-1226 - [c18]Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar:
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC 2023: 1-6 - [c17]Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar:
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. DAC 2023: 1-6 - [c16]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. ICCV 2023: 4837-4847 - [c15]Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang:
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2023: 5901-5902 - [c14]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS 2023 - [i16]Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR abs/2304.01441 (2023) - [i15]Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li:
Textbooks Are All You Need. CoRR abs/2306.11644 (2023) - [i14]Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels:
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. IACR Cryptol. ePrint Arch. 2023: 1338 (2023) - 2022
- [c13]Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS 2022 - [i13]Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR abs/2203.02094 (2022) - [i12]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR abs/2203.10183 (2022) - [i11]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR abs/2206.12100 (2022) - 2021
- [j6]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. IEEE Des. Test 38(3): 31-38 (2021) - [j5]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWANN: Small-World Architecture for Fast Convergence of Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 575-585 (2021) - [j4]Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 611-619 (2021) - [j3]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Trans. Dependable Secur. Comput. 18(2): 736-752 (2021) - [c12]Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. CCS 2021: 3266-3281 - [c11]Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel:
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. CVPR Workshops 2021: 3032-3042 - [c10]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. ICCAD 2021: 1-9 - [c9]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. ICCVW 2021: 12-20 - [i10]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. CoRR abs/2109.02836 (2021) - [i9]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. CoRR abs/2111.01932 (2021) - [i8]Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami:
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. CoRR abs/2111.03985 (2021) - 2020
- [j2]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. IEEE J. Sel. Top. Signal Process. 14(4): 750-764 (2020) - [j1]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19(6): 43:1-43:29 (2020) - [c8]Mojan Javaheripi, Huili Chen, Farinaz Koushanfar:
Unified Architectural Support for Secure and Robust Deep Learning. DAC 2020: 1-6 - [c7]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: genetic evolution for acquiring compact AI. GECCO 2020: 350-358 - [c6]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. ICCAD 2020: 11:1-11:9 - [i7]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. CoRR abs/2002.04971 (2020) - [i6]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: Genetic Evolution for Acquiring Compact AI. CoRR abs/2004.04249 (2020) - [i5]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. CoRR abs/2009.02326 (2020)
2010 – 2019
- 2019
- [c5]M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar:
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. HOST 2019: 198-207 - [c4]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. ICCAD 2019: 1-8 - [c3]Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing:
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD 2019: 1-8 - [i4]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. CoRR abs/1901.05582 (2019) - [i3]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWNet: Small-World Neural Networks and Rapid Convergence. CoRR abs/1904.04862 (2019) - [i2]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
ASCAI: Adaptive Sampling for acquiring Compact AI. CoRR abs/1911.06471 (2019) - [i1]M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar:
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. IACR Cryptol. ePrint Arch. 2019: 275 (2019) - 2018
- [c2]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
Assured deep learning: practical defense against adversarial attacks. ICCAD 2018: 20 - [c1]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
DeepFense: online accelerated defense against adversarial deep learning. ICCAD 2018: 134
Coauthor Index
aka: Mohammad Samragh
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last updated on 2024-10-07 22:18 CEST by the dblp team
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