Jie Ren - RankMe

41 papers A* 8A 2Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	A*	`conf`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal
2025	A*	`conf`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. EMNLP Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025	A*	`conf`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. WWW Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	A*	`conf`	Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. CVPR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	J	`jnl`	SoK: Machine Unlearning for Large Language Models. CoRR Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu
2025	A	`conf`	Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. AISTATS Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
2024	—	`conf`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	J	`jnl`	DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
2024	J	`jnl`	EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
2024	J	`jnl`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2024	A	`conf`	Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. WACV Yaxin Li, Jie Ren, Han Xu, Hui Liu
2024	—	`conf`	On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024	J	`jnl`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. CoRR Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	J	`jnl`	Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2024	J	`jnl`	Superiority of Multi-Head Attention in In-Context Linear Regression. CoRR Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2023	J	`jnl`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2023	J	`jnl`	Confidence-driven Sampling for Backdoor Attacks. CoRR Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2023	J	`jnl`	DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
2023	J	`jnl`	On the Generalization of Training-based ChatGPT Detection Methods. CoRR Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2023	A*	`conf`	Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
2023	J	`jnl`	Sharpness-Aware Data Poisoning Attack. CoRR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2023	A*	`conf`	Transferable Unlearnable Examples. ICLR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2022	J	`jnl`	Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
2022	J	`jnl`	Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang
2022	A*	`conf`	Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang
2022	J	`jnl`	Transferable Unlearnable Examples. CoRR Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang