Ruchit Rawal

According to our database, Ruchit Rawal authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Perturbed examples reveal invariances shared by language models.

Ruchit Rawal, Mariya Toneva

CoRR, 2023

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

Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty

CoRR, 2023

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers.

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Robust Few-shot Learning Without Using any Adversarial Samples.

Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty

CoRR, 2022

Data-free Defense of Black Box Models Against Adversarial Attacks.

Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty

CoRR, 2022

DAD: Data-free Adversarial Defense at Test Time.

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

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

Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

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

Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data.

Ruchit Rawal, Prabhu Pradhan

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