Rabbani, Tahseen

13 publications

TMLR 2026 Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs Thierry Bossy, Julien Tuấn Tú Vignoud, Tahseen Rabbani, Juan R. Troncoso Pastoriza, Martin Jaggi

NeurIPS 2025 A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks Mucong Ding, Bang An, Tahseen Rabbani, Chenghao Deng, Anirudh Satheesh, Souradip Chakraborty, Mehrdad Saberi, Yuxin Wen, Kyle Rui Sang, Aakriti Agrawal, Xuandong Zhao, Mo Zhou, Mary-Anne Hartley, Lei Li, Yu-Xiang Wang, Vishal M. Patel, Soheil Feizi, Tom Goldstein, Furong Huang

ICML 2024 A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM) Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

NeurIPSW 2024 LSH-E Tells You What to Discard: An Adaptive Locality-Sensitive Strategy for KV Cache Compression Tahseen Rabbani, Minghui Liu, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Furong Huang

NeurIPSW 2024 Shrinking the Size of Deep Extreme Multi-Label Classification Marco Bornstein, Tahseen Rabbani, Brian Joseph Gravelle, Furong Huang

ICML 2024 WAVES: Benchmarking the Robustness of Image Watermarks Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

ICLRW 2024 WAVES: Benchmarking the Robustness of Image Watermarks Mucong Ding, Tahseen Rabbani, Bang An, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

NeurIPS 2023 Large-Scale Distributed Learning via Private On-Device LSH Tahseen Rabbani, Marco Bornstein, Furong Huang

ICLR 2023 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein, Tahseen Rabbani, Evan Z Wang, Amrit Bedi, Furong Huang

NeurIPSW 2022 Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation Mucong Ding, Xiaoyu Liu, Tahseen Rabbani, Furong Huang

NeurIPSW 2022 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein, Tahseen Rabbani, Evan Z Wang, Amrit Bedi, Furong Huang

NeurIPS 2022 Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang

NeurIPSW 2022 Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding, Tahseen Rabbani, Bang An, Evan Z Wang, Furong Huang