| Multi-step jailbreaking privacy attacks on chatgpt H Li, D Guo, W Fan, M Xu, Y Song Findings of EMNLP 2023, 2023 | 248 | 2023 |
| Self-supervised dance video synthesis conditioned on music X Ren, H Li, Z Huang, Q Chen Proceedings of the 28th ACM International Conference on Multimedia, 46-54, 2020 | 89* | 2020 |
| Differentially private federated knowledge graphs embedding H Peng, H Li, Y Song, V Zheng, J Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 88 | 2021 |
| Privacy in large language models: Attacks, defenses and future directions H Li, Y Chen, J Luo, Y Kang, X Zhang, Q Hu, C Chan, Y Song arXiv preprint arXiv:2310.10383, 2023 | 36 | 2023 |
| Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence H Li, M Xu, Y Song Findings of ACL 2023, 2023 | 25 | 2023 |
| You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas H Li, Y Song, L Fan NAACL 2022, 2022 | 20 | 2022 |
| PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models H Li, D Guo, D Li, W Fan, Q Hu, X Liu, C Chan, D Yao, Y Yao, Y Song Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4* | 2024 |
| NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding C Chan, C Jiayang, Y Yim, Z Deng, W Fan, H Li, X Liu, H Zhang, W Wang, ... arXiv preprint arXiv:2404.13627, 2024 | 4 | 2024 |
| Backdoor Removal for Generative Large Language Models H Li, Y Chen, Z Zheng, Q Hu, C Chan, H Liu, Y Song arXiv preprint arXiv:2405.07667, 2024 | 3 | 2024 |
| Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory H Li, W Fan, Y Chen, J Cheng, T Chu, X Zhou, P Hu, Y Song arXiv preprint arXiv:2408.10053, 2024 | 1 | 2024 |
| GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory W Fan, H Li, Z Deng, W Wang, Y Song arXiv preprint arXiv:2406.11149, 2024 | 1 | 2024 |
| Analytic Federated Learning H Zhuang, R He, K Tong, D Fang, H Sun, H Li, T Chen, Z Zeng arXiv preprint arXiv:2405.16240, 2024 | 1 | 2024 |
| Privacy-Preserving Neural Graph Databases Q Hu, H Li, J Bai, Y Song KDD 2024, 2023 | 1 | 2023 |
| BaThe: Defense against the Jailbreak Attack in Multimodal Large Language Models by Treating Harmful Instruction as Backdoor Trigger Y Chen, H Li, Z Zheng, Y Song arXiv preprint arXiv:2408.09093, 2024 | | 2024 |
| Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning W Hu, H Jing, Q Hu, H Li, Y Song arXiv preprint arXiv:2408.07091, 2024 | | 2024 |
| Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data H Li, X Zhao, D Guo, H Gu, Z Zeng, Y Han, Y Song, L Fan, Q Yang arXiv preprint arXiv:2405.14212, 2024 | | 2024 |
| Federated Complex Qeury Answering Q Hu, W Jiang, H Li, Z Wang, J Bai, Q Mao, Y Song, L Fan, J Li arXiv preprint arXiv:2402.14609, 2024 | | 2024 |
| FedAssistant: Dialog Agents with Two-side Modeling H Li, Y Su, Q Hu, J Bai, Y Jin, Y Song FL-IJCAI'22, 0 | | |
Yangqiu SongHKUSTVerified email at cse.ust.hk