| Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition Z Liu, H Zhang, Z Chen, Z Wang, W Ouyang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020 | 1219 | 2020 |
| The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation P Kairouz*, Z Liu*, T Steinke* International Conference on Machine Learning (ICML), Oral at TPDP 2021, 2021 | 266 | 2021 |
| Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning M Zhou*, Z Liu*, P Sui, Y Li, YY Chung Conference on Neural Information Processing Systems (NeurIPS), 2020 | 155 | 2020 |
| The Skellam Mechanism for Differentially Private Federated Learning N Agarwal*, P Kairouz*, Z Liu* Conference on Neural Information Processing Systems (NeurIPS), Oral at PPML 2021, 2021 | 144 | 2021 |
| On Privacy and Personalization in Cross-Silo Federated Learning Z Liu, S Hu, ZS Wu, V Smith Conference on Neural Information Processing Systems (NeurIPS), 2022 | 66 | 2022 |
| Investigating Data Contamination for Pre-training Language Models M Jiang, ZK Liu, M Zhong, R Schaeffer, S Ouyang, J Han, S Koyejo ICLR 2024 Workshop on Data Problems for Foundation Models (DPFM, Best Paper), 2024 | 51* | 2024 |
| Motley: Benchmarking Heterogeneity and Personalization in Federated Learning S Wu, T Li, Z Charles, Y Xiao, Z Liu, Z Xu, V Smith Workshop on Federated Learning at NeurIPS 2022, 2022 | 48 | 2022 |
| Differentially Private Adaptive Optimization with Delayed Preconditioners T Li, M Zaheer, KZ Liu, SJ Reddi, HB McMahan, V Smith International Conference on Learning Representations (ICLR), Oral at OPT 2022, 2023 | 13 | 2023 |
| Machine Unlearning in 2024 KZ Liu URL https://ai.stanford.edu/~kzliu/blog/unlearning, 2024 | 8* | 2024 |
| Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice AF Cooper, CA Choquette-Choo, M Bogen, M Jagielski, K Filippova, ... arXiv preprint arXiv:2412.06966, 2024 | 3 | 2024 |
| On Fairness of Low-Rank Adaptation of Large Models Z Ding*, KZ Liu*, P Peetathawatchai, B Isik, S Koyejo Conference on Language Modeling (COLM) & ICLR 2024 Workshops: SeT LLM, R2-FM …, 2024 | 3 | 2024 |
| Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards Y Huang, M Nasr, A Angelopoulos, N Carlini, WL Chiang, ... arXiv preprint arXiv:2501.07493, 2025 | 2 | 2025 |
| Machine Unlearning Doesn't Do What You Think | | |
Peter KairouzResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
