| LLM-PBE: Assessing Data Privacy in Large Language Models Q Li, J Hong, C Xie, J Tan, R Xin, J Hou, X Yin, Z Wang, D Hendrycks, ... 50th International Conference on Very Large Databases (VLDB 2024), 2024 | 7 | 2024 |
| VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks Z Wu, J Hou, B He The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 4 | 2024 |
| Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification R Zhi, Y Meng, J Hou, J Wan IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2024), 2024 | 1 | 2024 |
| Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Z Wu, J Hou, Y Diao, B He arXiv preprint arXiv:2410.17986, 2024 | | 2024 |
| Model-Based Differentially Private Knowledge Transfer for Large Language Models Z Wu, J Guo, J Hou, B He, L Fan, Q Yang arXiv preprint arXiv:2410.10481, 2024 | | 2024 |
| The NeurIPS 2024 LLM Privacy Challenge Q Li, J Hong, C Xie, J Hou, Y Diao, Z Wang, D Hendrycks, Z Wang, B Li, ... NeurIPS 2024 Competition Track, 0 | | |
Bingsheng He, 何丙胜Professor, Department of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
