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 | 44 | 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 | 41 | 2016 |
Transferring Adversarial Robustness Through Robust Representation Matching P Vaishnavi, K Eykholt, A Rahmati 31st USENIX Security Symposium (USENIX Security 22), 2083-2098, 2022 | 13 | 2022 |
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 | 10 | 2020 |
Accelerating Certified Robustness Training via Knowledge Transfer P Vaishnavi, K Eykholt, A Rahmati Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 9 | 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 | 7 | 2022 |
Robust classification using robust feature augmentation K Eykholt, S Gupta, A Prakash, A Rahmati, P Vaishnavi, H Zheng arXiv preprint arXiv:1905.10904, 2019 | 3 | 2019 |
A Study of the Effects of Transfer Learning on Adversarial Robustness P Vaishnavi, K Eykholt, A Rahmati Transactions on Machine Learning Research, 0 | 3 | |
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders P Vaishnavi, K Eykholt, A Prakash, A Rahmati arXiv preprint arXiv:1909.05921, 2019 | 2* | 2019 |
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks K Eykholt, F Ahmed, P Vaishnavi, A Rahmati arXiv preprint arXiv:2410.12076, 2024 | | 2024 |
Advancing Usability in Training and Evaluation of Adversarially Robust Neural Networks P Vaishnavi State University of New York at Stony Brook, 2024 | | 2024 |
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 | | 2022 |
Generating Temporal Action Proposals in Long Untrimmed Videos P Vaishnavi State University of New York at Stony Brook, 2018 | | 2018 |