| Diffusionshield: A watermark for copyright protection against generative diffusion models Y Cui, J Ren, H Xu, P He, H Liu, L Sun, J Tang arXiv preprint arXiv:2306.04642, 2023 | 23 | 2023 |
| Large sample spectral analysis of graph-based multi-manifold clustering NG Trillos, P He, C Li Journal of Machine Learning Research 24 (143), 1-71, 2023 | 6 | 2023 |
| PROPN: Personalized probabilistic strategic parameter optimization in recommendations P He, H Liu, X Zhao, H Liu, J Tang Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models Y Cui, J Ren, Y Lin, H Xu, P He, Y Xing, W Fan, H Liu, J Tang arXiv preprint arXiv:2310.02401, 2023 | 3 | 2023 |
| On the generalization of training-based chatgpt detection methods H Xu, J Ren, P He, S Zeng, Y Cui, A Liu, H Liu, J Tang arXiv preprint arXiv:2310.01307, 2023 | 3 | 2023 |
| Probabilistic categorical adversarial attack and adversarial training H Xu, P He, J Ren, Y Wan, Z Liu, H Liu, J Tang International Conference on Machine Learning, 38428-38442, 2023 | 3 | 2023 |
| Exploring memorization in fine-tuned language models S Zeng, Y Li, J Ren, Y Liu, H Xu, P He, Y Xing, S Wang, J Tang, D Yin arXiv preprint arXiv:2310.06714, 2023 | 2 | 2023 |
| The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) S Zeng, J Zhang, P He, Y Xing, Y Liu, H Xu, J Ren, S Wang, D Yin, ... arXiv preprint arXiv:2402.16893, 2024 | 1 | 2024 |
| Superiority of Multi-Head Attention in In-Context Linear Regression Y Cui, J Ren, P He, J Tang, Y Xing arXiv preprint arXiv:2401.17426, 2024 | 1 | 2024 |
| Sharpness-Aware Data Poisoning Attack P He, H Xu, J Ren, Y Cui, H Liu, CC Aggarwal, J Tang arXiv preprint arXiv:2305.14851, 2023 | 1 | 2023 |
| Analyzing illegal psychostimulant trafficking networks using noisy and sparse data MV Bjarnadottir, S Chandra, P He, G Midgette IISE Transactions 56 (3), 269-281, 2024 | | 2024 |
| Copyright Protection in Generative AI: A Technical Perspective J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang, H Wen, J Ding, H Liu, ... arXiv preprint arXiv:2402.02333, 2024 | | 2024 |
| Data Poisoning for In-context Learning P He, H Xu, Y Xing, H Liu, M Yamada, J Tang arXiv preprint arXiv:2402.02160, 2024 | | 2024 |
| Confidence-driven Sampling for Backdoor Attacks P He, H Xu, Y Xing, J Ren, Y Cui, S Zeng, J Tang, M Yamada, ... arXiv preprint arXiv:2310.05263, 2023 | | 2023 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
