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)

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)

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)

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)

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. - Pengfei He; Yingqian Cui; Han Xu 002; Hui Liu 031; Makoto Yamada; Jiliang Tang; Yue Xing 002 (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)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. - Yingqian Cui; Pengfei He; Xianfeng Tang; Qi He 002; Chen Luo 003; Jiliang Tang; Yue Xing 002 (AISTATS, 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)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; 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)