Sandesh Kamath

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Top Venues

Publications

Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CoRR (2024)
Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
Rethinking Robustness of Model Attributions. AAAI (2024)
Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CoRR (2024)
Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
Rethinking Robustness of Model Attributions. CoRR (2023)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian
Universalization of Any Adversarial Attack using Very Few Test Examples. COMAD/CODS (2022)
Amlan Jyoti, Karthik Balaji Ganesh, Manoj Gayala, Nandita Lakshmi Tunuguntla, Sandesh Kamath, Vineeth N. Balasubramanian
On the Robustness of Explanations of Deep Neural Network Models: A Survey. CoRR (2022)
Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N. Balasubramanian
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks. NeurIPS (2021)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
Invariance vs. Robustness of Neural Networks. CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
Universalization of any adversarial attack using very few test examples. CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
How do SGD hyperparameters in natural training affect adversarial robustness? CoRR (2020)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam
On Universalized Adversarial and Invariant Perturbations. CoRR (2020)