Improved Techniques for Model Inversion Attacks. - Si Chen 008; Ruoxi Jia 001; Guo-Jun Qi (CoRR, 2020)

Knowledge-Enriched Distributional Model Inversion Attacks. - Si Chen 008; Mostafa Kahla; Ruoxi Jia 001; Guo-Jun Qi (ICCV, 2021)

One-Round Active Learning. - Tianhao Wang 013; Si Chen 008; Ruoxi Jia 001 (CoRR, 2021)

Zero-Round Active Learning. - Si Chen 008; Tianhao Wang 013; Ruoxi Jia 001 (CoRR, 2021)

Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Label-Only Model Inversion Attacks via Boundary Repulsion. - Mostafa Kahla; Si Chen 008; Hoang Anh Just; Ruoxi Jia 001 (CVPR, 2022)

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. - Weiyan Shi; Ryan Shea; Si Chen 008; Chiyuan Zhang; Ruoxi Jia 001; Zhou Yu (EMNLP, 2022)

Adversarial Unlearning of Backdoors via Implicit Hypergradient. - Yi Zeng 005; Si Chen 008; Won Park; Zhuoqing Mao 001; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2022)

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. - Weiyan Shi; Si Chen 008; Chiyuan Zhang; Ruoxi Jia 001; Zhou Yu (CoRR, 2022)

ModelPred: A Framework for Predicting Trained Model from Training Data. - Yingyan Zeng; Jiachen T. Wang; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (SaTML, 2023)

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. - Si Chen 008; Yi Zeng 005; Won Park; Jiachen T. Wang; Xun Chen; Lingjuan Lyu; Zhuoqing Mao 001; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2023)

One-Round Active Learning through Data Utility Learning and Proxy Models. - Jiachen T. Wang; Si Chen 008; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2023)

FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (EMNLP (Findings), 2024)

Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. - Zixin Ding; Si Chen 008; Ruoxi Jia 001; Yuxin Chen (UAI, 2024)

FASTTRACK: Fast and Accurate Fact Tracing for LLMs. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (CoRR, 2024)

AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. - Feiyang Kang; Yifan Sun 010; Bingbing Wen; Si Chen 008; Dawn Song; Rafid Mahmood; Ruoxi Jia 001 (CoRR, 2024)

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion. - Si Chen 008; Feiyang Kang; Nikhil Abhyankar; Ming Jin 002; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2024)

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. - Si Chen 008; Xiao Yu; Ninareh Mehrabi; Rahul Gupta 001; Zhou Yu; Ruoxi Jia 001 (CoRR, 2025)

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. - Mahavir Dabas; Si Chen 008; Charles Fleming; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2025)