Si Chen - RankMe

23 papers A* 5A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. ICML Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia
2025	J	`jnl`	Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. CoRR Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia
2025	J	`jnl`	Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. CoRR Si Chen, Xiao Yu, Ninareh Mehrabi, Rahul Gupta, Zhou Yu, Ruoxi Jia
2024	J	`jnl`	AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. CoRR Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia
2024	J	`jnl`	Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion. Trans. Mach. Learn. Res. Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia
2024	J	`jnl`	FASTTRACK: Fast and Accurate Fact Tracing for LLMs. CoRR Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024	—	`conf`	FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. EMNLP (Findings) Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024	A	`conf`	Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. UAI Zixin Ding, Si Chen, Ruoxi Jia, Yuxin Chen
2023	J	`jnl`	Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. CoRR Zixin Ding, Si Chen, Ruoxi Jia, Yuxin Chen
2023	—	`conf`	ModelPred: A Framework for Predicting Trained Model from Training Data. SaTML Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
2023	J	`jnl`	One-Round Active Learning through Data Utility Learning and Proxy Models. Trans. Mach. Learn. Res. Jiachen T. Wang, Si Chen, Ruoxi Jia
2023	J	`jnl`	Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. Trans. Mach. Learn. Res. Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
2022	A*	`conf`	Adversarial Unlearning of Backdoors via Implicit Hypergradient. ICLR Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia
2022	A*	`conf`	Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. EMNLP Weiyan Shi, Ryan Shea, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu
2022	J	`jnl`	Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. CoRR Weiyan Shi, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu
2022	A*	`conf`	Label-Only Model Inversion Attacks via Boundary Repulsion. CVPR Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
2022	J	`jnl`	Label-Only Model Inversion Attacks via Boundary Repulsion. CoRR Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia
2021	J	`jnl`	Adversarial Unlearning of Backdoors via Implicit Hypergradient. CoRR Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia
2021	A*	`conf`	Knowledge-Enriched Distributional Model Inversion Attacks. ICCV Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi
2021	J	`jnl`	Learning to Refit for Convex Learning Problems. CoRR Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia
2021	J	`jnl`	One-Round Active Learning. CoRR Tianhao Wang, Si Chen, Ruoxi Jia
2021	J	`jnl`	Zero-Round Active Learning. CoRR Si Chen, Tianhao Wang, Ruoxi Jia
2020	J	`jnl`	Improved Techniques for Model Inversion Attacks. CoRR Si Chen, Ruoxi Jia, Guo-Jun Qi