| Flow of granular matter in a silo with multiple exit orifices: Jamming to mixing S Kamath, A Kunte, P Doshi, AV Orpe Physical Review E 90 (6), 062206, 2014 | 21 | 2014 |
| Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks S Kamath, A Deshpande, S Kambhampati Venkata, ... Advances in Neural Information Processing Systems 34, 27462-27474, 2021 | 16* | 2021 |
| On the robustness of explanations of deep neural network models: A survey A Jyoti, KB Ganesh, M Gayala, NL Tunuguntla, S Kamath, ... arXiv preprint arXiv:2211.04780, 2022 | 5 | 2022 |
| How do SGD hyperparameters in natural training affect adversarial robustness? S Kamath, A Deshpande, KV Subrahmanyam arXiv preprint arXiv:2006.11604, 2020 | 3 | 2020 |
| On adversarial robustness of small vs large batch training S Kamath, A Despande, KV Subrahmanyam | 2 | 2019 |
| Better generalization with adaptive adversarial training A Despande, S Kamath, KV Subrahmanyam | 2 | 2019 |
| Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning D Goswami, A Soutif-Cormerais, Y Liu, S Kamath, B Twardowski, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Universalization of any adversarial attack using very few test examples S Kamath, A Deshpande, KV Subrahmanyam, VN Balasubramanian Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 1 | 2022 |
| Universal adversarial attack using very few test examples A Deshpande, S Kamath, KV Subrahmanyam | 1 | 2019 |
| Rethinking Robustness of Model Attributions S Kamath, S Mittal, A Deshpande, VN Balasubramanian Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2688-2696, 2024 | | 2024 |
| The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks S Kamath, A Soutif-Cormerais, J Van De Weijer, B Raducanu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| On Universalized Adversarial and Invariant Perturbations S Kamath, A Deshpande, KV Subrahmanyam arXiv preprint arXiv:2006.04449, 2020 | | 2020 |
| Universal Attacks on Equivariant Networks A Deshpande, S Kamath, KV Subrahmanyam | | 2018 |
| Supplementary Materials: Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning D Goswami, A Soutif–Cormerais, Y Liu, S Kamath, B Twardowski, ... | | |
| Robust attributions require rethinking robustness metrics S Kamath, A Deshpande, VN Balasubramanian | | |
| Better Generalization with Adaptive Adversarial Training S Kamath, A Deshpande, KV Subrahmanyam | | |
| Understanding Adversarial Robustness of Symmetric Networks S Kamath, A Deshpande | | |
| Robustness and Equivariance of Neural Networks A Deshpande, S Kamath, KV Subrahmanyam | | |
