Ruchit Rawal

DAD: Data-free Adversarial Defense at Test Time

Gaurav Kumar Nayak, Anirban Chakraborty, Ruchit Rawal, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems

Gaurav Kumar Nayak, Anirban Chakraborty, Rohit Lal, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID pdf

Anirban Chakraborty, Ruchit Rawal, Chaitra Jambigi, 2021, BMVC.

Robust Few-shot Learning Without Using any Adversarial Samples

Gaurav Kumar Nayak, Anirban Chakraborty, Inder Khatri, 2022, arXiv.org.

Data-free Defense of Black Box Models Against Adversarial Attacks

Gaurav Kumar Nayak, Anirban Chakraborty, Inder Khatri, 2022, ArXiv.

What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation

Vedant Nanda, Mariya Toneva, Gabriele Merlin, 2023, ArXiv.

DAD++: Improved Data-free Test Time Adversarial Defense

Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal, 2023, 2309.05132.