Akshayvarun Subramanya

According to our database, Akshayvarun Subramanya authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

Backdoor Attacks on Vision Transformers.

Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

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

Akshayvarun Subramanya, Hamed Pirsiavash

CoRR, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Role of Spatial Context in Adversarial Robustness for Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hidden Trigger Backdoor Attacks.

Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Patches Exploiting Contextual Reasoning in Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

CoRR, 2019

Fooling Network Interpretation in Image Classification.

Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Towards Hiding Adversarial Examples from Network Interpretation.

Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash

CoRR, 2018

Estimating Confidence for Deep Neural Networks through Density modeling.

Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu

Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples.

Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

2017

Confidence estimation in Deep Neural networks via density modelling.

Akshayvarun Subramanya, Suraj Srinivas, R. Venkatesh Babu

CoRR, 2017

Training Sparse Neural Networks.

Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017