Kejia Chen

According to our database, Kejia Chen authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration.

Kejia Chen, Jiawen Zhang, Boheng Li, Pengcheng Li, Jian Lou, Zunlei Feng, Mingli Song, Ruoxi Jia, Tianwei Zhang

CoRR, May, 2026

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable.

Kejia Chen, Jiawen Zhang, Yihong Wu, Kewei Gao, Jian Lou, Zunlei Feng, Mingli Song, Ruoxi Jia

CoRR, May, 2026

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception.

Jiazhen Yang, Junjun Zheng, Kejia Chen, Xiangheng Kong, Jie Lei, Zunlei Feng, Bingde Hu, Yang Gao

CoRR, April, 2026

Understanding and Preserving Safety in Fine-Tuned LLMs.

Jiawen Zhang, Yangfan Hu, Kejia Chen, Lipeng He, Jiachen Ma, Jian Lou, Dan Li, Jian Liu, Xiaohu Yang, Ruoxi Jia

CoRR, January, 2026

Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance.

Jiawen Zhang, Lipeng He, Kejia Chen, Jian Lou, Jian Liu, Xiaohu Yang, Ruoxi Jia

CoRR, January, 2026

Self-improved holistic alignment for preference enhancement.

Kejia Chen, Jiawen Zhang, Jiazhen Yang, Mingli Song, Zunlei Feng

Pattern Recognit., 2026

2025

Token-Level Inference-Time Alignment for Vision-Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Kewei Gao, Jian Lou, Zunlei Feng, Mingli Song

CoRR, October, 2025

It Takes Two: Your GRPO Is Secretly DPO.

Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie

CoRR, October, 2025

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

CoRR, June, 2025

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Jiazhen Yang, Jian Lou, Zunlei Feng, Mingli Song

CoRR, March, 2025

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models.

Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song, Jian Liu, Xiaohu Yang

CoRR, February, 2025

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense.

Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang

CoRR, February, 2025

πFL: Private, atomic, incentive mechanism for federated learning based on blockchain.

Kejia Chen, Jiawen Zhang, Xuanming Liu, Zunlei Feng, Xiaohu Yang

Blockchain Res. Appl., 2025

Activation Approximations Can Incur Safety Vulnerabilities in Aligned LLMs: Comprehensive Analysis and Defense.

Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang

Proceedings of the 34th USENIX Security Symposium, 2025

Secure Transformer Inference Made Non-interactive.

Jiawen Zhang, Xinpeng Yang, Lipeng He, Kejia Chen, Wen-jie Lu, Yinghao Wang, Xiaoyang Hou, Jian Liu, Kui Ren, Xiaohu Yang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Secure Transformer Inference Made Non-interactive.

Jiawen Zhang, Jian Liu, Xinpeng Yang, Yinghao Wang, Kejia Chen, Xiaoyang Hou, Kui Ren, Xiaohu Yang

IACR Cryptol. ePrint Arch., 2024

Transformer Doctor: Diagnosing and Treating Vision Transformers.

Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models.

Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024