Akshayvarun Subramanya

16 papers A* 2A 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash
2022	J	`jnl`	A Simple Approach to Adversarial Robustness in Few-shot Image Classification. CoRR Akshayvarun Subramanya, Hamed Pirsiavash
2022	J	`jnl`	Backdoor Attacks on Vision Transformers. CoRR Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2022	—	`conf`	Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. ECCV (31) K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2021	J	`jnl`	Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2020	A*	`conf`	Hidden Trigger Backdoor Attacks. AAAI Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
2020	—	`conf`	Role of Spatial Context in Adversarial Robustness for Object Detection. CVPR Workshops Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash
2019	J	`jnl`	Adversarial Patches Exploiting Contextual Reasoning in Object Detection. CoRR Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash
2019	A*	`conf`	Fooling Network Interpretation in Image Classification. ICCV Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash
2019	J	`jnl`	Hidden Trigger Backdoor Attacks. CoRR Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
2018	—	`conf`	BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. ICVGIP Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu
2018	—	`conf`	Estimating Confidence for Deep Neural Networks through Density modeling. SPCOM Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu
2018	J	`jnl`	Towards Hiding Adversarial Examples from Network Interpretation. CoRR Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash
2017	J	`jnl`	Confidence estimation in Deep Neural networks via density modelling. CoRR Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu
2017	—	`conf`	Training Sparse Neural Networks. CVPR Workshops Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu
2016	J	`jnl`	Training Sparse Neural Networks. CoRR Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu