| 2025 | ICCV | ARGUS: Hallucination and Omission Evaluation in Video-LLMs. | Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein |
| 2025 | ICSE | 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 |
| 2024 | ACL | Perturbed examples reveal invariances shared by language models. | Ruchit Rawal, Mariya Toneva |
| 2024 | CVPR | Data-free Defense of Black Box Models Against Adversarial Attacks. | Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal, Anirban Chakraborty |
| 2023 | WACV | DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. | Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty |
| 2022 | CVPR | 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 |
| 2022 | WACV | DAD: Data-free Adversarial Defense at Test Time. | Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty |
| 2021 | BMVC | MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. | Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty |
| 2020 | CVPR | Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data. | Ruchit Rawal, Prabhu Pradhan |