| 2025 | EMNLP | Open-DeBias: Toward Mitigating Open-Set Bias in Language Models. | Arti Rani, Shweta Singh, Nihar Ranjan Sahoo, Gaurav Kumar Nayak |
| 2025 | ICML | MGD3 : Mode-Guided Dataset Distillation using Diffusion Models. | Jeffrey A. Chan-Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah |
| 2025 | WACV | DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-Id. | Nyle Siddiqui, Florinel-Alin Croitoru, Gaurav Kumar Nayak, Radu Tudor Ionescu, Mubarak Shah |
| 2024 | CVPR | Data-free Defense of Black Box Models Against Adversarial Attacks. | Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal, Anirban Chakraborty |
| 2024 | ECCV | CityGuessr: City-Level Video Geo-Localization on a Global Scale. | Parth Parag Kulkarni, Gaurav Kumar Nayak, Mubarak Shah |
| 2024 | WACV | Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. | M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty |
| 2023 | MICCAI | DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks. | Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schffler, Nassir Navab |
| 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 | Beyond Classification: Knowledge Distillation using Multi-Object Impressions. | Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty |
| 2021 | BMVC | Incremental Learning for Animal Pose Estimation using RBF k-DPP. | Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty |
| 2021 | WACV | Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. | Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty |
| 2020 | AAAI | DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. | Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan |
| 2019 | ICIP | Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). | Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty |
| 2019 | ICML | Zero-Shot Knowledge Distillation in Deep Networks. | Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty |