Jie Ren

According to our database, Jie Ren authored at least 33 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SoK: Machine Unlearning for Large Language Models.

Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu

CoRR, June, 2025

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy.

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, Hui Liu

CoRR, June, 2025

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation.

Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang

CoRR, May, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

CoRR, February, 2025

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.

Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu

Proceedings of the ACM on Web Conference 2025, 2025

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models.

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression.

Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models.

Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang

SIGKDD Explor., December, 2024

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2024

Stealthy Backdoor Attack via Confidence-driven Sampling.

Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

Trans. Mach. Learn. Res., 2024

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models.

Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models.

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang

CoRR, 2024

EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.

Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.

Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

CoRR, 2024

Superiority of Multi-Head Attention in In-Context Linear Regression.

Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing

CoRR, 2024

Neural Style Protection: Counteracting Unauthorized Neural Style Transfer.

Yaxin Li, Jie Ren, Han Xu, Hui Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Sharpness-Aware Data Poisoning Attack.

Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Generalization of Training-based ChatGPT Detection Methods.

Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.

Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang

Proceedings of the Computer Vision - ECCV 2024, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Confidence-driven Sampling for Backdoor Attacks.

Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang

CoRR, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang

CoRR, 2023

Sharpness-Aware Data Poisoning Attack.

Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang

CoRR, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.

Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

Transferable Unlearnable Examples.

Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Probabilistic Categorical Adversarial Attack & Adversarial Training.

Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang

CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.

Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

CoRR, 2022

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.

Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022