Akshayvarun Subramanya

Hidden Trigger Backdoor Attacks

Hamed Pirsiavash, Akshayvarun Subramanya, Aniruddha Saha, 2019, AAAI.

Hidden Trigger Backdoor Attacks

H. Pirsiavash, Aniruddha Saha, Akshayvarun Subramanya, 2019, AAAI.

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

Soroush Abbasi Koohpayegani, H. Pirsiavash, Ajinkya Tejankar, 2021, ECCV.

Backdoor Attacks on Vision Transformers

Soroush Abbasi Koohpayegani, H. Pirsiavash, Ajinkya Tejankar, 2022, ArXiv.

Training Sparse Neural Networks

R. Venkatesh Babu, Akshayvarun Subramanya, Suraj Srinivas, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Confidence estimation in Deep Neural networks via density modelling pdf

R. Venkatesh Babu, Akshayvarun Subramanya, Suraj Srinivas, 2017, ArXiv.

Fooling Network Interpretation in Image Classification

Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Role of Spatial Context in Adversarial Robustness for Object Detection

Akshayvarun Subramanya, Hamed Pirsiavash, Aniruddha Saha, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Adversarial Patches Exploiting Contextual Reasoning in Object Detection pdf

Hamed Pirsiavash, Akshayvarun Subramanya, Aniruddha Saha, 2019, ArXiv.

Estimating Confidence for Deep Neural Networks through Density modeling

R. Venkatesh Babu, Akshayvarun Subramanya, Suraj Srinivas, 2018, 2018 International Conference on Signal Processing and Communications (SPCOM).

A Simple Approach to Adversarial Robustness in Few-shot Image Classification

H. Pirsiavash, Akshayvarun Subramanya, 2022, ArXiv.

Towards Hiding Adversarial Examples from Network Interpretation pdf

Hamed Pirsiavash, Akshayvarun Subramanya, Vipin Pillai, 2018, ArXiv.