| 2025 | ICCV | A Framework for Double-Blind Federated Adaptation of Foundation Models. | Nurbek Tastan, Karthik Nandakumar |
| 2025 | ICML | Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks. | Nurbek Tastan, Samuel Horvth, Karthik Nandakumar |
| 2024 | CVPR | Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. | Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar |
| 2024 | IJCAI | Redefining Contributions: Shapley-Driven Federated Learning. | Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvth, Karthik Nandakumar |
| 2024 | WACV | A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. | Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2023 | CVPR | CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. | Nurbek Tastan, Karthik Nandakumar |
| 2019 | ICCSA | Burglary Detection Framework for House Crime Control. | Nurbek Tastan, Abdul Razaque, Mohamed Ben Haj Frej, Amanzholova Saule Toksanovna, Raouf M. Ganda, Fathi H. Amsaad |