Sandesh Kamath

16 papers A* 4Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	An ACM Multimedia Xide Xu, Sandesh Kamath, Muhammad Atif Butt, Bogdan Raducanu
2025	J	`jnl`	An h-space Based Adversarial Attack for Protection Against Few-shot Personalization. CoRR Xide Xu, Sandesh Kamath, Muhammad Atif Butt, Bogdan Raducanu
2024	J	`jnl`	Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack. CoRR Xide Xu, Muhammad Atif Butt, Sandesh Kamath, Bogdan Raducanu
2024	A*	`conf`	Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CVPR Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
2024	J	`jnl`	Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CoRR Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
2024	A*	`conf`	Rethinking Robustness of Model Attributions. AAAI Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
2024	—	`conf`	The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CVPR Workshops Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
2024	J	`jnl`	The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CoRR Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
2023	J	`jnl`	Rethinking Robustness of Model Attributions. CoRR Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
2022	J	`jnl`	On the Robustness of Explanations of Deep Neural Network Models: A Survey. CoRR Amlan Jyoti, Karthik Balaji Ganesh, Manoj Gayala, Nandita Lakshmi Tunuguntla, Sandesh Kamath, Vineeth N. Balasubramanian
2022	—	`conf`	Universalization of Any Adversarial Attack using Very Few Test Examples. COMAD/CODS Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian
2021	A*	`conf`	Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks. NeurIPS Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N. Balasubramanian
2020	J	`jnl`	How do SGD hyperparameters in natural training affect adversarial robustness? CoRR Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
2020	J	`jnl`	Invariance vs. Robustness of Neural Networks. CoRR Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
2020	J	`jnl`	On Universalized Adversarial and Invariant Perturbations. CoRR Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
2020	J	`jnl`	Universalization of any adversarial attack using very few test examples. CoRR Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam