Si Chen

According to our database, Si Chen authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning.

Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia

CoRR, July, 2025

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning.

Si Chen, Xiao Yu, Ninareh Mehrabi, Rahul Gupta, Zhou Yu, Ruoxi Jia

CoRR, April, 2025

2024

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion.

Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia

Trans. Mach. Learn. Res., 2024

AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs.

Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia

CoRR, 2024

FASTTRACK: Fast and Accurate Fact Tracing for LLMs.

Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia

CoRR, 2024

Learning to Rank for Active Learning via Multi-Task Bilevel Optimization.

Zixin Ding, Si Chen, Ruoxi Jia, Yuxin Chen

Proceedings of the Uncertainty in Artificial Intelligence, 2024

FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation.

Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

One-Round Active Learning through Data Utility Learning and Proxy Models.

Jiachen T. Wang, Si Chen, Ruoxi Jia

Trans. Mach. Learn. Res., 2023

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion.

Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia

Trans. Mach. Learn. Res., 2023

ModelPred: A Framework for Predicting Trained Model from Training Data.

Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.

Weiyan Shi, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu

CoRR, 2022

Adversarial Unlearning of Backdoors via Implicit Hypergradient.

Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia

Proceedings of the Tenth International Conference on Learning Representations, 2022

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.

Weiyan Shi, Ryan Shea, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Label-Only Model Inversion Attacks via Boundary Repulsion.

Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning to Refit for Convex Learning Problems.

Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

CoRR, 2021

Zero-Round Active Learning.

Si Chen, Tianhao Wang, Ruoxi Jia

CoRR, 2021

One-Round Active Learning.

Tianhao Wang, Si Chen, Ruoxi Jia

CoRR, 2021

Knowledge-Enriched Distributional Model Inversion Attacks.

Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Improved Techniques for Model Inversion Attacks.

Si Chen, Ruoxi Jia, Guo-Jun Qi

CoRR, 2020