Vikash Sehwag

According to our database, Vikash Sehwag authored at least 17 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Fast-Convergent Federated Learning.

Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2021

2020

RobustBench: a standardized adversarial robustness benchmark.

Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein

CoRR, 2020

Fast-Convergent Federated Learning.

Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor

CoRR, 2020

A Critical Evaluation of Open-World Machine Learning.

Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal

CoRR, 2020

Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks.

Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal

CoRR, 2020

PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields.

Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal

CoRR, 2020

On Pruning Adversarially Robust Neural Networks.

Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana

CoRR, 2020

HYDRA: Pruning Adversarially Robust Neural Networks.

Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Towards Compact and Robust Deep Neural Networks.

Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana

CoRR, 2019

Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples.

Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal

CoRR, 2019

Analyzing the Robustness of Open-World Machine Learning.

Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

A Parallel Stochastic Number Generator With Bit Permutation Networks.

Vikash Sehwag, N. Prasad, Indrajit Chakrabarti

IEEE Trans. Circuits Syst. II Express Briefs, 2018

Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints.

Vikash Sehwag, Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2016

TV-PUF : A Fast Lightweight Aging-Resistant Threshold Voltage PUF.

Tanujay Saha, Vikash Sehwag

IACR Cryptol. ePrint Arch., 2016

TV-PUF: A Fast Lightweight Analog Physical Unclonable Function.

Vikash Sehwag, Tanujay Saha

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

Variation Aware Performance Analysis of TFETs for Low-Voltage Computing.

Vikash Sehwag, Saurav Maji, Mrigank Sharad

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

2015

Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons.

Aranya Goswamy, Sagar Kumashi, Vikash Sehwag, Siddharth Singh, Manny Jain, Kaushik Roy, Mrigank Sharad

CoRR, 2015