Training Sparse Neural Networks. - Suraj Srinivas; Akshayvarun Subramanya; R. Venkatesh Babu (CVPR Workshops, 2017)

Confidence estimation in Deep Neural networks via density modelling. - Akshayvarun Subramanya; Suraj Srinivas; R. Venkatesh Babu (CoRR, 2017)

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. - Akshayvarun Subramanya; Konda Reddy Mopuri; R. Venkatesh Babu (ICVGIP, 2018)

Estimating Confidence for Deep Neural Networks through Density modeling. - Akshayvarun Subramanya; Suraj Srinivas; R. Venkatesh Babu (SPCOM, 2018)

Towards Hiding Adversarial Examples from Network Interpretation. - Akshayvarun Subramanya; Vipin Pillai; Hamed Pirsiavash (CoRR, 2018)

Fooling Network Interpretation in Image Classification. - Akshayvarun Subramanya; Vipin Pillai; Hamed Pirsiavash (ICCV, 2019)

Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CoRR, 2019)

Hidden Trigger Backdoor Attacks. - Aniruddha Saha; Akshayvarun Subramanya; Hamed Pirsiavash (AAAI, 2020)

Role of Spatial Context in Adversarial Robustness for Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CVPR Workshops, 2020)

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Kossar Pourahmadi; Akshayvarun Subramanya; Hamed Pirsiavash (ECCV (31), 2022)

A Simple Approach to Adversarial Robustness in Few-shot Image Classification. - Akshayvarun Subramanya; Hamed Pirsiavash (CoRR, 2022)

Backdoor Attacks on Vision Transformers. - Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. - Akshayvarun Subramanya; Soroush Abbasi Koohpayegani; Aniruddha Saha; Ajinkya Tejankar; Hamed Pirsiavash (WACV, 2024)