Pratik Vaishnavi
Pratik Vaishnavi
PhD Student, Computer Science Department, Stony Brook University
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Cited by
Cited by
Robust pose recognition using deep learning
A Mohanty, A Ahmed, T Goswami, A Das, P Vaishnavi, RR Sahay
Proceedings of International Conference on Computer Vision and Image …, 2017
Nrityabodha: towards understanding Indian classical dance using a deep learning approach
A Mohanty, P Vaishnavi, P Jana, A Majumdar, A Ahmed, T Goswami, ...
Signal Processing: Image Communication 47, 529-548, 2016
Can attention masks improve adversarial robustness?
P Vaishnavi, T Cong, K Eykholt, A Prakash, A Rahmati
International Workshop on Engineering Dependable and Secure Machine Learning …, 2020
Transferring Adversarial Robustness Through Robust Representation Matching
P Vaishnavi, K Eykholt, A Rahmati
31st USENIX Security Symposium (USENIX Security 22), 2083-2098, 2022
Ares: A system-oriented wargame framework for adversarial ML
F Ahmed, P Vaishnavi, K Eykholt, A Rahmati
2022 IEEE Security and Privacy Workshops (SPW), 73-79, 2022
Accelerating Certified Robustness Training via Knowledge Transfer
P Vaishnavi, K Eykholt, A Rahmati
Thirty-sixth Conference on Neural Information Processing Systems, 2022
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders
P Vaishnavi, K Eykholt, A Prakash, A Rahmati
arXiv preprint arXiv:1909.05921, 2019
Robust classification using robust feature augmentation
K Eykholt, S Gupta, A Prakash, A Rahmati, P Vaishnavi, H Zheng
arXiv preprint arXiv:1905.10904, 2019
A Study of the Effects of Transfer Learning on Adversarial Robustness
P Vaishnavi, K Eykholt, A Rahmati
On the Feasibility of Compressing Certifiably Robust Neural Networks
P Vaishnavi, V Krish, F Ahmed, K Eykholt, A Rahmati
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022
Generating Temporal Action Proposals in Long Untrimmed Videos
P Vaishnavi
State University of New York at Stony Brook, 2018
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