Vikash Sehwag
Vikash Sehwag
Email verificata su princeton.edu - Home page
Titolo
Citata da
Citata da
Anno
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
112019
TV-PUF: a fast lightweight analog physical unclonable function
V Sehwag, T Saha
2016 IEEE International Symposium on Nanoelectronic and Information Systems …, 2016
92016
Towards compact and robust deep neural networks
V Sehwag, S Wang, P Mittal, S Jana
arXiv preprint arXiv:1906.06110, 2019
72019
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
72017
Hydra: Pruning adversarially robust neural networks
V Sehwag, S Wang, P Mittal, S Jana
Advances in Neural Information Processing Systems 33, 2020
6*2020
Fast-convergent federated learning
HT Nguyen, V Sehwag, S Hosseinalipour, CG Brinton, M Chiang, ...
arXiv preprint arXiv:2007.13137, 2020
32020
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
32019
A critical evaluation of open-world machine learning
L Song, V Sehwag, AN Bhagoji, P Mittal
arXiv preprint arXiv:2007.04391, 2020
22020
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
22018
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
RobustBench: a standardized adversarial robustness benchmark
F Croce, M Andriushchenko, V Sehwag, N Flammarion, M Chiang, ...
arXiv preprint arXiv:2010.09670, 2020
12020
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields
C Xiang, AN Bhagoji, V Sehwag, P Mittal
arXiv preprint arXiv:2005.10884, 2020
12020
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
Project report-COS 598B Physical adversarial examples for semantic image segmentation
V Sehwag
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–15