| Transferable unlearnable examples J Ren, H Xu, Y Wan, X Ma, L Sun, J Tang The Eleventh International Conference on Learning Representations, 2022 | 31 | 2022 |
| 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 | 29 | 2023 |
| A robust semantics-based watermark for large language model against paraphrasing J Ren, H Xu, Y Liu, Y Cui, S Wang, D Yin, J Tang NAACL findings 2024, 2023 | 13 | 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 | 9 | 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 | 8 | 2024 |
| 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 | 8 | 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 | 7 | 2023 |
| 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 | 5 | 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 | 4 | 2023 |
| Defense against gradient leakage attacks via learning to obscure data Y Wan, H Xu, X Liu, J Ren, W Fan, J Tang arXiv preprint arXiv:2206.00769, 2022 | 4 | 2022 |
| Sharpness-Aware Data Poisoning Attack P He, H Xu, J Ren, Y Cui, H Liu, CC Aggarwal, J Tang The Twelfth International Conference on Learning Representations. 2023., 2023 | 3 | 2023 |
| Uniting heterogeneity, inductiveness, and efficiency for graph representation learning T Chen, H Yin, J Ren, Z Huang, X Zhang, H Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 2103-2117, 2021 | 3 | 2021 |
| Towards adversarial learning: from evasion attacks to poisoning attacks W Wang, H Xu, Y Wan, J Ren, J Tang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention J Ren, Y Li, S Zen, H Xu, L Lyu, Y Xing, J Tang ECCV 2024, 2024 | 1 | 2024 |
| Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models J Ren, K Chen, Y Cui, S Zeng, H Liu, Y Xing, J Tang, L Lyu arXiv preprint arXiv:2406.14855, 2024 | | 2024 |
| Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data S Zeng, J Zhang, P He, J Ren, T Zheng, H Lu, H Xu, H Liu, Y Xing, J Tang arXiv preprint arXiv:2406.14773, 2024 | | 2024 |
| EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations J Ren, Y Cui, C Chen, V Sehwag, Y Xing, J Tang, L Lyu arXiv preprint arXiv:2406.13933, 2024 | | 2024 |
| Neural Style Protection: Counteracting Unauthorized Neural Style Transfer Y Li*, J Ren*, H Xu, H Liu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 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 |
| DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y Xing, J Tang | | |
