Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. - Wentao Wang 006; Han Xu 002; Yuxuan Wan; Jie Ren 019; Jiliang Tang (KDD, 2022)

Defense Against Gradient Leakage Attacks via Learning to Obscure Data. - Yuxuan Wan; Han Xu 002; Xiaorui Liu; Jie Ren 019; Wenqi Fan; Jiliang Tang (CoRR, 2022)

Probabilistic Categorical Adversarial Attack & Adversarial Training. - Pengfei He; Han Xu 002; Jie Ren 019; Yuxuan Wan; Zitao Liu 001; Jiliang Tang (CoRR, 2022)

Transferable Unlearnable Examples. - Jie Ren 019; Han Xu 002; Yuxuan Wan; Xingjun Ma; Lichao Sun 001; Jiliang Tang (ICLR, 2023)

Probabilistic Categorical Adversarial Attack and Adversarial Training. - Han Xu 002; Pengfei He; Jie Ren 019; Yuxuan Wan; Zitao Liu 001; Hui Liu 031; Jiliang Tang (ICML, 2023)

Sharpness-Aware Data Poisoning Attack. - Pengfei He; Han Xu 002; Jie Ren 019; Yingqian Cui; Hui Liu 031; Charu C. Aggarwal; Jiliang Tang (CoRR, 2023)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. - Yingqian Cui; Jie Ren 019; Han Xu 002; Pengfei He; Hui Liu 031; Lichao Sun 001; Jiliang Tang (CoRR, 2023)

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. - Yingqian Cui; Jie Ren 019; Yuping Lin; Han Xu 002; Pengfei He; Yue Xing 002; Wenqi Fan; Hui Liu 031; Jiliang Tang (CoRR, 2023)

Confidence-driven Sampling for Backdoor Attacks. - Pengfei He; Han Xu 002; Yue Xing 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (CoRR, 2023)

Exploring Memorization in Fine-tuned Language Models. - Shenglai Zeng; Yaxin Li 001; Jie Ren 019; Yiding Liu; Han Xu 002; Pengfei He; Yue Xing 002; Shuaiqiang Wang; Jiliang Tang; Dawei Yin (ACL (1), 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yiding Liu; Yue Xing 002; Han Xu 002; Jie Ren 019; Yi Chang 001; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (ACL (Findings), 2024)

Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. - Jie Ren 019; Yaxin Li 001; Shenglai Zeng; Han Xu 002; Lingjuan Lyu; Yue Xing 002; Jiliang Tang (ECCV (77), 2024)

On the Generalization of Training-based ChatGPT Detection Methods. - Han Xu 002; Jie Ren 019; Pengfei He; Shenglai Zeng; Yingqian Cui; Amy Liu; Hui Liu 031; Jiliang Tang (EMNLP (Findings), 2024)

Sharpness-Aware Data Poisoning Attack. - Pengfei He; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Hui Liu 031; Charu C. Aggarwal; Jiliang Tang (ICLR, 2024)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. - Jie Ren 019; Han Xu 002; Yiding Liu; Yingqian Cui; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (NAACL-HLT (Findings), 2024)

Neural Style Protection: Counteracting Unauthorized Neural Style Transfer. - Yaxin Li 001; Jie Ren 019; Han Xu 002; Hui Liu 031 (WACV, 2024)

Superiority of Multi-Head Attention in In-Context Linear Regression. - Yingqian Cui; Jie Ren 019; Pengfei He; Jiliang Tang; Yue Xing 002 (CoRR, 2024)

Copyright Protection in Generative AI: A Technical Perspective. - Jie Ren 019; Han Xu 002; Pengfei He; Yingqian Cui; Shenglai Zeng; Jiankun Zhang; Hongzhi Wen; Jiayuan Ding; Hui Liu 031; Yi Chang 001; 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 019; Yingqian Cui; Chen Chen 043; Vikash Sehwag; Yue Xing 002; 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 019; Tianqi Zheng; Hanqing Lu; Han Xu 002; Hui Liu 031; Yue Xing 002; Jiliang Tang (CoRR, 2024)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. - Jie Ren 019; Kangrui Chen; Yingqian Cui; Shenglai Zeng; Hui Liu 031; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CoRR, 2024)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. - Jie Ren 019; Kangrui Chen; Chen Chen 043; Vikash Sehwag; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CoRR, 2024)

Stealthy Backdoor Attack via Confidence-driven Sampling. - Pengfei He; Yue Xing 002; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2024)

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. - Yingqian Cui; Jie Ren 019; Yuping Lin; Han Xu 002; Pengfei He; Yue Xing 002; Lingjuan Lyu; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2024)

DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. - Yingqian Cui; Jie Ren 019; Han Xu 002; Pengfei He; Hui Liu 031; Lichao Sun 001; Yue Xing 002; Jiliang Tang (SIGKDD Explor., 2024)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (ACL (Findings), 2025)

Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. - Yingqian Cui; Jie Ren 019; Pengfei He; Hui Liu 031; Jiliang Tang; Yue Xing 002 (AISTATS, 2025)

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. - Jie Ren 019; Kangrui Chen; Yingqian Cui; Shenglai Zeng; Hui Liu 003; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CVPR, 2025)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. - Jie Ren 019; Kangrui Chen; Chen Chen 043; Vikash Sehwag; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (WWW, 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu 003; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (CoRR, 2025)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. - Jiankun Zhang; Shenglai Zeng; Jie Ren 019; Tianqi Zheng; Hui Liu 031; Xianfeng Tang; Hui Liu 031; Yi Chang 001 (CoRR, 2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Shenglai Zeng; Hui Liu 031; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He 002; Charu C. Aggarwal; et al. (CoRR, 2025)

SoK: Machine Unlearning for Large Language Models. - Jie Ren 019; Yue Xing 002; Yingqian Cui; Charu C. Aggarwal; Hui Liu 031 (CoRR, 2025)