| Puma: Secure inference of llama-7b in five minutes Y Dong, W Lu, Y Zheng, H Wu, D Zhao, J Tan, Z Huang, C Hong, T Wei, ... arXiv preprint arXiv:2307.12533, 2023 | 53 | 2023 |
| {SecretFlow-SPU}: A Performant and {User-Friendly} Framework for {Privacy-Preserving} Machine Learning J Ma, Y Zheng, J Feng, D Zhao, H Wu, W Fang, J Tan, C Yu, B Zhang, ... 2023 USENIX Annual Technical Conference (USENIX ATC 23), 17-33, 2023 | 35 | 2023 |
| Improving real-world password guessing attacks via bi-directional transformers M Xu, J Yu, X Zhang, C Wang, S Zhang, H Wu, W Han 32nd USENIX Security Symposium (USENIX Security 23), 1001-1018, 2023 | 18 | 2023 |
| pmpl: A robust multi-party learning framework with a privileged party L Song, J Wang, Z Wang, X Tu, G Lin, W Ruan, H Wu, W Han Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 18 | 2022 |
| SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation L Song, H Wu, W Ruan, W Han arXiv preprint arXiv:2012.03386, 2020 | 14 | 2020 |
| Automated Enforcement of the Principle of Least Privilege over Data Source Access H Wu, Z Yu, D Huang, H Zhang, W Han 2020 IEEE 19th International Conference on Trust, Security and Privacy in …, 2020 | 8 | 2020 |
| Ditto: Quantization-aware Secure Inference of Transformers upon MPC H Wu, W Fang, Y Zheng, J Ma, J Tan, Y Wang, L Wang arXiv preprint arXiv:2405.05525, 2024 | 2 | 2024 |
| Nimbus: Secure and Efficient Two-Party Inference for Transformers Z Li, K Yang, J Tan, W Lu, H Wu, X Wang, Y Yu, D Zhao, Y Zheng, M Guo, ... arXiv preprint arXiv:2411.15707, 2024 | | 2024 |