Chulin Xie - RankMe

54 papers A* 16Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning. Trans. Mach. Learn. Res. Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao
2026	J	`jnl`	TablePuppet: Towards a Generic Framework for Learning over Relational Tables. VLDB J. Lijie Xu, Chulin Xie, Yiran Guo, Haiyang Lu, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
2025	J	`jnl`	BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI. CoRR Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, Bo Li
2025	A*	`conf`	GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. ICML Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2025	A*	`conf`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. ICLR Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, et al.
2025	J	`jnl`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. CoRR Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song
2025	—	`conf`	On Memorization of Large Language Models in Logical Reasoning. IJCNLP-AACL (long papers) Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
2025	J	`jnl`	RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents. CoRR Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li
2024	J	`jnl`	Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models. CoRR Lynn Chua, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chulin Xie, Chiyuan Zhang
2024	A*	`conf`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024	J	`jnl`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024	A*	`conf`	Differentially Private Synthetic Data via Foundation Model APIs 2: Text. ICML Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
2024	J	`jnl`	Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
2024	A*	`conf`	Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2024	A*	`conf`	FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He
2024	A*	`conf`	FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CVPR Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
2024	J	`jnl`	FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CoRR Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
2024	—	`conf`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024	J	`jnl`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
2024	J	`jnl`	GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2024	—	`conf`	Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	On Memorization of Large Language Models in Logical Reasoning. CoRR Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
2024	J	`jnl`	Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization. CoRR Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao
2024	A*	`conf`	Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. CVPR Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
2024	A*	`conf`	RedCode: Risky Code Execution and Generation Benchmark for Code Agents. NeurIPS Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
2024	J	`jnl`	RedCode: Risky Code Execution and Generation Benchmark for Code Agents. CoRR Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
2024	A*	`conf`	Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024	J	`jnl`	TablePuppet: A Generic Framework for Relational Federated Learning. CoRR Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
2023	J	`jnl`	Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2023	A*	`conf`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023	J	`jnl`	DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023	J	`jnl`	Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2023	J	`jnl`	FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr
2023	J	`jnl`	PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. CoRR Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
2023	J	`jnl`	Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2023	A*	`conf`	Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
2022	A*	`conf`	CoPur: Certifiably Robust Collaborative Inference via Feature Purification. NeurIPS Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li
2022	J	`jnl`	FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
2022	J	`jnl`	Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li
2022	J	`jnl`	Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. CoRR Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li
2022	J	`jnl`	Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. CoRR Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
2022	J	`jnl`	UniFed: A Benchmark for Federated Learning Frameworks. CoRR Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song
2021	A*	`conf`	CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021	J	`jnl`	CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. CoRR Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021	A*	`conf`	Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. CVPR Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
2021	J	`jnl`	Style-based Point Generator with Adversarial Rendering for Point Cloud Completion. CoRR Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
2021	J	`jnl`	Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. CoRR Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang
2020	A*	`conf`	DBA: Distributed Backdoor Attacks against Federated Learning. ICLR Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
2020	J	`jnl`	Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2019	J	`jnl`	Attack-Resistant Federated Learning with Residual-based Reweighting. CoRR Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen
2019	—	`conf`	Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. CLEF (Working Notes) Xin Yan, Lin Li, Chulin Xie, Jun Xiao, Lin Gu
2018	—	`conf`	Data Quality Transaction on Different Distributed Ledger Technologies. BigSDM Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu