| Defending ChatGPT against jailbreak attack via self-reminders Y Xie*, J Yi*, J Shao, J Curl, L Lyu, Q Chen, X Xie, F Wu Nature Machine Intelligence, 1-11, 2023 | 81* | 2023 |
| Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation J Yi, F Wu, C Wu, R Liu, G Sun, X Xie Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 56 | 2021 |
| Tiny-newsrec: Effective and efficient plm-based news recommendation Y Yu, F Wu, C Wu, J Yi, Q Liu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2021 | 30* | 2021 |
| Benchmarking and defending against indirect prompt injection attacks on large language models J Yi*, Y Xie*, B Zhu, E Kiciman, G Sun, X Xie, F Wu arXiv preprint arXiv:2312.14197, 2023 | 28 | 2023 |
| Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark W Peng*, J Yi*, F Wu, S Wu, B Zhu, L Lyu, B Jiao, T Xu, G Sun, X Xie Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 27* | 2023 |
| UA-FedRec: Untargeted Attack on Federated News Recommendation J Yi, F Wu, B Zhu, J Yao, Z Tao, G Sun, X Xie The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022 | 12 | 2022 |
| Debiasedrec: Bias-aware user modeling and click prediction for personalized news recommendation J Yi, F Wu, C Wu, Q Li, G Sun, X Xie arXiv preprint arXiv:2104.07360, 2021 | 11 | 2021 |
| On the vulnerability of value alignment in open-access LLMs J Yi*, R Ye*, Q Chen, BB Zhu, S Chen, D Lian, G Sun, X Xie, F Wu | 5* | 2023 |
| Control Risk for Potential Misuse of Artificial Intelligence in Science J He*, W Feng*, Y Min*, J Yi*, K Tang, S Li, J Zhang, K Chen, W Zhou, ... arXiv preprint arXiv:2312.06632, 2023 | 4 | 2023 |
| Effective and Efficient Query-aware Snippet Extraction for Web Search J Yi, F Wu, C Wu, X Huang, B Jiao, G Sun, X Xie Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
| Robust Quantity-Aware Aggregation for Federated Learning J Yi, F Wu, H Zhang, B Zhu, G Sun, X Xie arXiv preprint arXiv:2205.10848, 2022 | 2 | 2022 |
| Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement C Zhang, F Wu, J Yi, D Xu, Y Yu, J Wang, Y Wang, T Xu, X Xie, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
