Yingqian Cui

Conference Papers

• Sharpness-Aware Data Poisoning Attack
  Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang
  Spotlight paper (5%) of In International Conference on Learning Representations (ICLR), 2024
  arXiv:2305.14851
• 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
  Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
  arXiv:2311.08721

Preprint

• Superiority of Multi-Head Attention in In-Context Linear Regression
  Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
  arXiv:2401.17426
• DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
  Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing
  arXiv:2306.04642
• 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
  arXiv:2310.02401
• 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
  arXiv:2402.02333
• Confidence-driven Sampling for Backdoor Attacks
  Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Yue Xing, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
  arXiv:2310.05263
• 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
  arXiv:2310.01307

Teaching

• CSE 482 Big Data Analysis: Fall 2023, Michigan State University.
  Teaching Assistant.
• CSE 480 Database Systems: Spring 2024, Michigan State University.
  Teaching Assistant.
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