Ruchit Rawal

According to our database, Ruchit Rawal authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

ARGUS: Hallucination and Omission Evaluation in Video-LLMs.

Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein

CoRR, June, 2025

Robust Few-Shot Learning Without Using Any Adversarial Samples.

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

IEEE Trans. Neural Networks Learn. Syst., February, 2025

DAD++: Improved data-free test time adversarial defense.

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

Neurocomputing, 2025

Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations.

Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

CinePile: A Long Video Question Answering Dataset and Benchmark.

Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein

CoRR, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Perturbed examples reveal invariances shared by language models.

Ruchit Rawal, Mariya Toneva

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

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