Chulin Xie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Future Directions

Autonomous Vehicles

Learning Frameworks

Diffusion Models

Top Venues

Publications

Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR (2024)
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
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR (2024)
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
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD (2024)
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR (2024)
Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang
TablePuppet: A Generic Framework for Relational Federated Learning. CoRR (2024)
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
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR (2024)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) (2024)
Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CoRR (2024)
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML (2024)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR (2024)
Lynn Chua, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chulin Xie, Chiyuan Zhang
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models. CoRR (2024)
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
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR (2024)
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
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR (2023)
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
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR (2023)
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
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS (2023)
Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS (2023)
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
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR (2023)
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees. CoRR (2023)
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR (2023)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li
CoPur: Certifiably Robust Collaborative Inference via Feature Purification. NeurIPS (2022)
Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data. CoRR (2022)
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song
UniFed: A Benchmark for Federated Learning Frameworks. CoRR (2022)
Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR (2022)
Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. CoRR (2022)
Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. CoRR (2022)
Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. CVPR (2021)
Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. CoRR (2021)
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. CoRR (2021)
Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion. CoRR (2021)
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML (2021)
Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
DBA: Distributed Backdoor Attacks against Federated Learning. ICLR (2020)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR (2020)
Xin Yan, Lin Li, Chulin Xie, Jun Xiao, Lin Gu
Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain. CLEF (Working Notes) (2019)
Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen
Attack-Resistant Federated Learning with Residual-based Reweighting. CoRR (2019)
Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu
Data Quality Transaction on Different Distributed Ledger Technologies. BigSDM (2018)