MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. - Xu, Chejian; Zhang, Jiawei; Chen, Zhaorun; Xie, Chulin; Kang, Mintong; Potter, Yujin; Wang, Zhun; Yuan, Zhuowen; Xiong, Alexander; Xiong, Zidi; Zhang, Chenhui; Yuan, Lingzhi; et al. (2025)

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. - Xu, Chejian; Zhang, Jiawei; Chen, Zhaorun; Xie, Chulin; Kang, Mintong; Potter, Yujin; Wang, Zhun; Yuan, Zhuowen; Xiong, Alexander; Xiong, Zidi; Zhang, Chenhui; Yuan, Lingzhi; et al. (CoRR, 2025)

LLM-PBE: Assessing Data Privacy in Large Language Models. - Li, Qinbin; Hong, Junyuan; Xie, Chulin; Tan, Jeffrey; Xin, Rachel; Hou, Junyi; Yin, Xavier; Wang, Zhun; Hendrycks, Dan; Wang, Zhangyang; Li, Bo; He, Bingsheng; et al. (Proc. VLDB Endow., 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Jin, Bowen; Xie, Chulin; Zhang, Jiawei; Roy, Kashob Kumar; Zhang, Yu; Li, Zheng; Li, Ruirui; Tang, Xianfeng; Wang, Suhang; Meng, Yu; Han, Jiawei (2024)

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. - Xie, Chulin; Huang, De-An; Chu, Wenda; Xu, Daguang; Xiao, Chaowei; Li, Bo; Anandkumar, Anima (2024)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. - Tamirisa, Rishub; Xie, Chulin; Bao, Wenxuan; Zhou, Andy; Arel, Ron; Shamsian, Aviv (2024)

Effective and Efficient Federated Tree Learning on Hybrid Data. - Li, Qinbin; Xie, Chulin; Xu, Xiaojun; Liu, Xiaoyuan; Zhang, Ce; Li, Bo; He, Bingsheng; Song, Dawn (2024)

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? - Tsai, Yu-Lin; Hsu, Chia-Yi; Xie, Chulin; Lin, Chih-Hsun; Chen, Jia-You; Li, Bo; Chen, Pin-Yu; Yu, Chia-Mu; Huang, Chun-Ying (2024)

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. - Hong, Junyuan; Duan, Jinhao; Zhang, Chenhui; Li, Zhangheng; Xie, Chulin; Lieberman, Kelsey; Diffenderfer, James; Bartoldson, Brian R.; Jaiswal, Ajay Kumar; Xu, Kaidi; Kailkhura, Bhavya; Hendrycks, Dan; et al. (2024)

Differentially Private Synthetic Data via Foundation Model APIs 2: Text. - Xie, Chulin; Lin, Zinan; Backurs, Arturs; Gopi, Sivakanth; Yu, Da; Inan, Huseyin A.; Nori, Harsha; Jiang, Haotian; Zhang, Huishuai; Lee, Yin Tat; Li, Bo; Yekhanin, Sergey (2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Han, Shanshan; Buyukates, Baturalp; Hu, Zijian; Jin, Han; Jin, Weizhao; Sun, Lichao; Wang, Xiaoyang; Wu, Wenxuan; Xie, Chulin; Yao, Yuhang; Zhang, Kai; Zhang, Qifan; et al. (2024)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents. - Guo, Chengquan; Liu, Xun; Xie, Chulin; Zhou, Andy; Zeng, Yi; Lin, Zinan; Song, Dawn; Li, Bo (2024)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. - Xie, Chulin; Chen, Pin-Yu; Li, Qinbin; Nourian, Arash; Zhang, Ce; Li, Bo (2024)

Differentially Private Synthetic Data via Foundation Model APIs 2: Text. - Xie, Chulin; Lin, Zinan; Backurs, Arturs; Gopi, Sivakanth; Yu, Da; Inan, Huseyin A.; Nori, Harsha; Jiang, Haotian; Zhang, Huishuai; Lee, Yin Tat; Li, Bo; Yekhanin, Sergey (CoRR, 2024)

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. - Hong, Junyuan; Duan, Jinhao; Zhang, Chenhui; Li, Zhangheng; Xie, Chulin; Lieberman, Kelsey; Diffenderfer, James; Bartoldson, Brian R.; Jaiswal, Ajay; Xu, Kaidi; Kailkhura, Bhavya; Hendrycks, Dan; et al. (CoRR, 2024)

TablePuppet: A Generic Framework for Relational Federated Learning. - Xu, Lijie; Xie, Chulin; Guo, Yiran; Alonso, Gustavo; Li, Bo; Li, Guoliang; Wang, Wei; Wu, Wentao; Zhang, Ce (CoRR, 2024)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. - Tamirisa, Rishub; Xie, Chulin; Bao, Wenxuan; Zhou, Andy; Arel, Ron; Shamsian, Aviv (CoRR, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Jin, Bowen; Xie, Chulin; Zhang, Jiawei; Roy, Kashob Kumar; Zhang, Yu; Wang, Suhang; Meng, Yu; Han, Jiawei (CoRR, 2024)

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. - Xiang, Zhen; Zheng, Linzhi; Li, Yanjie; Hong, Junyuan; Li, Qinbin; Xie, Han; Zhang, Jiawei; Xiong, Zidi; Xie, Chulin; Yang, Carl; Song, Dawn; Li, Bo (CoRR, 2024)

Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models. - Chua, Lynn; Ghazi, Badih; Huang, Yangsibo; Kamath, Pritish; Kumar, Ravi; Manurangsi, Pasin; Sinha, Amer; Xie, Chulin; Zhang, Chiyuan (CoRR, 2024)

LLM-PBE: Assessing Data Privacy in Large Language Models. - Li, Qinbin; Hong, Junyuan; Xie, Chulin; Tan, Jeffrey; Xin, Rachel; Hou, Junyi; Yin, Xavier; Wang, Zhun; Hendrycks, Dan; Wang, Zhangyang; Li, Bo; He, Bingsheng; et al. (CoRR, 2024)

Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization. - Liu, Meitong; Zhang, Xiaoyuan; Xie, Chulin; Donahue, Kate; Zhao, Han (CoRR, 2024)

On Memorization of Large Language Models in Logical Reasoning. - Xie, Chulin; Huang, Yangsibo; Zhang, Chiyuan; Yu, Da; Chen, Xinyun; Lin, Bill Yuchen; Li, Bo; Ghazi, Badih; Kumar, Ravi (CoRR, 2024)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents. - Guo, Chengquan; Liu, Xun; Xie, Chulin; Zhou, Andy; Zeng, Yi; Lin, Zinan; Song, Dawn; Li, Bo (CoRR, 2024)

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. - Goldblum, Micah; Tsipras, Dimitris; Xie, Chulin; Chen, Xinyun; Schwarzschild, Avi; Song, Dawn; Madry, Aleksander; Li, Bo; Goldstein, Tom (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. - Xie, Chulin; Long, Yunhui; Chen, Pin-Yu; Li, Qinbin; Koyejo, Sanmi; Li, Bo (2023)

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. - Wang, Boxin; Chen, Weixin; Pei, Hengzhi; Xie, Chulin; Kang, Mintong; Zhang, Chenhui; Xu, Chejian; Xiong, Zidi; Dutta, Ritik; Schaeffer, Rylan; Truong, Sang T.; Arora, Simran; et al. (2023)

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. - Xie, Chulin; Huang, De-An; Chu, Wenda; Xu, Daguang; Xiao, Chaowei; Li, Bo; Anandkumar, Anima (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Han, Shanshan; Buyukates, Baturalp; Hu, Zijian; Jin, Han; Jin, Weizhao; Sun, Lichao; Wang, Xiaoyang; Xie, Chulin; Zhang, Kai; Zhang, Qifan; Zhang, Yuhui; He, Chaoyang; et al. (CoRR, 2023)

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. - Wang, Boxin; Chen, Weixin; Pei, Hengzhi; Xie, Chulin; Kang, Mintong; Zhang, Chenhui; Xu, Chejian; Xiong, Zidi; Dutta, Ritik; Schaeffer, Rylan; Truong, Sang T.; Arora, Simran; et al. (CoRR, 2023)

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? - Tsai, Yu-Lin; Hsu, Chia-Yi; Xie, Chulin; Lin, Chih-Hsun; Chen, Jia-You; Li, Bo; Chen, Pin-Yu; Yu, Chia-Mu; Huang, Chun-Ying (CoRR, 2023)

Effective and Efficient Federated Tree Learning on Hybrid Data. - Li, Qinbin; Xie, Chulin; Xu, Xiaojun; Liu, Xiaoyuan; Zhang, Ce; Li, Bo; He, Bingsheng; Song, Dawn (CoRR, 2023)

CoPur: Certifiably Robust Collaborative Inference via Feature Purification. - Liu, Jing; Xie, Chulin; Koyejo, Sanmi; Li, Bo (2022)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. - Xie, Chulin; Chen, Pin-Yu; Zhang, Ce; Li, Bo (CoRR, 2022)

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. - Chu, Wenda; Xie, Chulin; Wang, Boxin; Li, Linyi; Yin, Lang; Zhao, Han; Li, Bo (CoRR, 2022)

UniFed: A Benchmark for Federated Learning Frameworks. - Liu, Xiaoyuan; Shi, Tianneng; Xie, Chulin; Li, Qinbin; Hu, Kangping; Kim, Haoyu; Xu, Xiaojun; Li, Bo; Song, Dawn (CoRR, 2022)

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. - Xie, Chulin; Cao, Zhong; Long, Yunhui; Yang, Diange; Zhao, Ding; Li, Bo (CoRR, 2022)

Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. - Xie, Chulin; Long, Yunhui; Chen, Pin-Yu; Li, Bo (CoRR, 2022)

Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. - Xie, Chulin; Wang, Chuxin; Zhang, Bo; Yang, Hao; Chen, Dong; Wen, Fang (2021)

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. - Xie, Chulin; Chen, Minghao; Chen, Pin-Yu; Li, Bo (2021)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion. - Xie, Chulin; Wang, Chuxin; Zhang, Bo; Yang, Hao; Chen, Dong; Wen, Fang (CoRR, 2021)

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. - Xie, Chulin; Chen, Minghao; Chen, Pin-Yu; Li, Bo (CoRR, 2021)

Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. - Qi, Xiangyu; Zhu, Jifeng; Xie, Chulin; Yang, Yong (CoRR, 2021)

DBA: Distributed Backdoor Attacks against Federated Learning. - Xie, Chulin; Huang, Keli; Chen, Pin-Yu; Li, Bo (2020)

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. - Goldblum, Micah; Tsipras, Dimitris; Xie, Chulin; Chen, Xinyun; Schwarzschild, Avi; Song, Dawn; Madry, Aleksander; Li, Bo; Goldstein, Tom (CoRR, 2020)

Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. - Yan, Xin; Li, Lin; Xie, Chulin; Xiao, Jun; Gu, Lin (2019)

Attack-Resistant Federated Learning with Residual-based Reweighting. - Fu, Shuhao; Xie, Chulin; Li, Bo; Chen, Qifeng (CoRR, 2019)

Data Quality Transaction on Different Distributed Ledger Technologies. - Wu, Chao; Zhou, Liyi; Xie, Chulin; Zheng, Yuhang; Yu, Jiawei (2018)