Data Quality Transaction on Different Distributed Ledger Technologies. - Chao Wu 001; Liyi Zhou; Chulin Xie; Yuhang Zheng; Jiawei Yu (BigSDM, 2018)

Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. - Xin Yan; Lin Li 065; Chulin Xie; Jun Xiao 001; Lin Gu 003 (CLEF (Working Notes), 2019)

Attack-Resistant Federated Learning with Residual-based Reweighting. - Shuhao Fu; Chulin Xie; Bo Li 026; Qifeng Chen (CoRR, 2019)

DBA: Distributed Backdoor Attacks against Federated Learning. - Chulin Xie; Keli Huang; Pin-Yu Chen; Bo Li 026 (ICLR, 2020)

Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. - Chulin Xie; Chuxin Wang; Bo Zhang 025; Hao Yang 036; Dong Chen 003; Fang Wen 001 (CVPR, 2021)

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. - Chulin Xie; Minghao Chen 001; Pin-Yu Chen; Bo Li 026 (ICML, 2021)

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

CoPur: Certifiably Robust Collaborative Inference via Feature Purification. - Jing Liu; Chulin Xie; Sanmi Koyejo; Bo Li 026 (NeurIPS, 2022)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. - Chulin Xie; Pin-Yu Chen; Ce Zhang 001; Bo Li 026 (CoRR, 2022)

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. - Wenda Chu; Chulin Xie; Boxin Wang; Linyi Li 001; Lang Yin; Han Zhao 002; Bo Li 026 (CoRR, 2022)

UniFed: A Benchmark for Federated Learning Frameworks. - Xiaoyuan Liu; Tianneng Shi; Chulin Xie; Qinbin Li; Kangping Hu; Haoyu Kim; Xiaojun Xu; Bo Li 026; Dawn Song (CoRR, 2022)

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. - Chulin Xie; Zhong Cao; Yunhui Long; Diange Yang; Ding Zhao; Bo Li 026 (CoRR, 2022)

Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. - Chulin Xie; Yunhui Long; Pin-Yu Chen; Bo Li 026 (CoRR, 2022)

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. - Chulin Xie; Yunhui Long; Pin-Yu Chen; Qinbin Li; Sanmi Koyejo; Bo Li 026 (CCS, 2023)

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. - 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; et al. (NeurIPS, 2023)

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? - 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 (CoRR, 2023)

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. - Micah Goldblum; Dimitris Tsipras; Chulin Xie; Xinyun Chen; Avi Schwarzschild; Dawn Song; Aleksander Madry; Bo Li 026; Tom Goldstein (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 2024)

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

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. - Chulin Xie; De-An Huang; Wenda Chu; Daguang Xu; Chaowei Xiao; Bo Li 026; Anima Anandkumar (CVPR, 2024)

Effective and Efficient Federated Tree Learning on Hybrid Data. - Qinbin Li; Chulin Xie; Xiaojun Xu; Xiaoyuan Liu; Ce Zhang 001; Bo Li 026; Bingsheng He; Dawn Song (ICLR, 2024)

Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? - Yu-Lin Tsai; Chia-Yi Hsu; Chulin Xie; Chih-Hsun Lin; Jia-You Chen; Bo Li 026; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICLR, 2024)

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. - 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; et al. (ICML, 2024)

Differentially Private Synthetic Data via Foundation Model APIs 2: Text. - Chulin Xie; Zinan Lin 001; Arturs Backurs; Sivakanth Gopi; Da Yu; Huseyin A. Inan; Harsha Nori; Haotian Jiang; Huishuai Zhang; Yin Tat Lee; Bo Li 026; Sergey Yekhanin (ICML, 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

RedCode: Risky Code Execution and Generation Benchmark for Code Agents. - Chengquan Guo; Xun Liu; Chulin Xie; Andy Zhou; Yi Zeng 005; Zinan Lin 001; Dawn Song; Bo Li 026 (NeurIPS, 2024)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. - Chulin Xie; Pin-Yu Chen; Qinbin Li; Arash Nourian; Ce Zhang 001; Bo Li 026 (SaTML, 2024)

TablePuppet: A Generic Framework for Relational Federated Learning. - Lijie Xu; Chulin Xie; Yiran Guo; Gustavo Alonso; Bo Li 026; Guoliang Li 001; Wei Wang 009; Wentao Wu 001; Ce Zhang 001 (CoRR, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Suhang Wang; Yu Meng 001; Jiawei Han 001 (CoRR, 2024)

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. - Zhen Xiang; Linzhi Zheng; Yanjie Li; Junyuan Hong; Qinbin Li; Han Xie; Jiawei Zhang 002; Zidi Xiong; Chulin Xie; Carl Yang 001; Dawn Song; Bo Li 026 (CoRR, 2024)

Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models. - Lynn Chua; Badih Ghazi; Yangsibo Huang; Pritish Kamath; Ravi Kumar 001; Pasin Manurangsi; Amer Sinha; Chulin Xie; Chiyuan Zhang (CoRR, 2024)

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

On Memorization of Large Language Models in Logical Reasoning. - Chulin Xie; Yangsibo Huang; Chiyuan Zhang; Da Yu; Xinyun Chen; Bill Yuchen Lin; Bo Li 026; Badih Ghazi; Ravi Kumar 001 (CoRR, 2024)

LLM-PBE: Assessing Data Privacy in Large Language Models. - Qinbin Li; Junyuan Hong; Chulin Xie; Jeffrey Tan; Rachel Xin; Junyi Hou; Xavier Yin; Zhun Wang; Dan Hendrycks; Zhangyang Wang; Bo Li 026; Bingsheng He; et al. (Proc. VLDB Endow., 2024)

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. - Chejian Xu; Jiawei Zhang 002; Zhaorun Chen; Chulin Xie; Mintong Kang; Yujin Potter; Zhun Wang; Zhuowen Yuan; Alexander Xiong; Zidi Xiong; Chenhui Zhang; Lingzhi Yuan; et al. (ICLR, 2025)

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. - Chejian Xu; Jiawei Zhang 002; Zhaorun Chen; Chulin Xie; Mintong Kang; Yujin Potter; Zhun Wang; Zhuowen Yuan; Alexander Xiong; Zidi Xiong; Chenhui Zhang; Lingzhi Yuan; et al. (CoRR, 2025)