Vikash Sehwag
Vikash Sehwag
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Hydra: Pruning adversarially robust neural networks
V Sehwag, S Wang, P Mittal, S Jana
arXiv preprint arXiv:2002.10509, 2020
302020
Robustbench: a standardized adversarial robustness benchmark
F Croce, M Andriushchenko, V Sehwag, N Flammarion, M Chiang, ...
arXiv preprint arXiv:2010.09670, 2020
292020
Analyzing the robustness of open-world machine learning
V Sehwag, AN Bhagoji, L Song, C Sitawarin, D Cullina, M Chiang, P Mittal
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
212019
TV-PUF: a fast lightweight analog physical unclonable function
V Sehwag, T Saha
2016 IEEE International Symposium on Nanoelectronic and Information Systems …, 2016
142016
Fast-convergent federated learning
HT Nguyen, V Sehwag, S Hosseinalipour, CG Brinton, M Chiang, ...
IEEE Journal on Selected Areas in Communications 39 (1), 201-218, 2020
132020
Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking
C Xiang, AN Bhagoji, V Sehwag, P Mittal
30th {USENIX} Security Symposium ({USENIX} Security 21), 2021
10*2021
Towards compact and robust deep neural networks
V Sehwag, S Wang, P Mittal, S Jana
arXiv preprint arXiv:1906.06110, 2019
92019
A parallel stochastic number generator with bit permutation networks
V Sehwag, N Prasad, I Chakrabarti
IEEE Transactions on Circuits and Systems II: Express Briefs 65 (2), 231-235, 2017
82017
Ssd: A unified framework for self-supervised outlier detection
V Sehwag, M Chiang, P Mittal
arXiv preprint arXiv:2103.12051, 2021
62021
Improving adversarial robustness using proxy distributions
V Sehwag, S Mahloujifar, T Handina, S Dai, C Xiang, M Chiang, P Mittal
arXiv preprint arXiv:2104.09425, 2021
52021
A critical evaluation of open-world machine learning
L Song, V Sehwag, AN Bhagoji, P Mittal
arXiv preprint arXiv:2007.04391, 2020
42020
Not all pixels are born equal: An analysis of evasion attacks under locality constraints
V Sehwag, C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
32018
Better the devil you know: An analysis of evasion attacks using out-of-distribution adversarial examples
V Sehwag, AN Bhagoji, L Song, C Sitawarin, D Cullina, M Chiang, P Mittal
arXiv preprint arXiv:1905.01726, 2019
22019
Variation aware performance analysis of tfets for low-voltage computing
V Sehwag, S Maji, M Sharad
2016 IEEE International Symposium on Nanoelectronic and Information Systems …, 2016
22016
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
AN Bhagoji, D Cullina, V Sehwag, P Mittal
arXiv preprint arXiv:2104.08382, 2021
2021
Embedding delay‐based physical unclonable functions in networks‐on‐chip
P Nagabhushanamgari, V Sehwag, I Chakrabarti, S Chattopadhyay
IET Circuits, Devices & Systems, 2020
2020
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
V Sehwag, R Oak, M Chiang, P Mittal
arXiv preprint arXiv:2006.14077, 2020
2020
Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons
A Goswamy, S Kumashi, V Sehwag, SK Singh, M Jain, K Roy, M Sharad
arXiv preprint arXiv:1511.09085, 2015
2015
Supplementary Material: Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
AN Bhagoji, D Cullina, V Sehwag, P Mittal
Project report-COS 598B Physical adversarial examples for semantic image segmentation
V Sehwag
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Articles 1–20