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Chulin Xie
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2020 – today
- 2024
- [j2]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:
LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17(11): 3201-3214 (2024) - [c17]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: 163-184 - [c16]Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar:
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees. CVPR 2024: 23838-23848 - [c15]Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian:
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. CVPR 2024: 23985-23994 - [c14]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 - [c13]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 - [c12]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:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 2024 - [c11]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. ICML 2024 - [c10]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: 5070-5081 - [c9]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: 443-471 - [i25]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 abs/2403.01749 (2024) - [i24]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR abs/2403.15447 (2024) - [i23]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 abs/2403.15839 (2024) - [i22]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 abs/2404.02478 (2024) - [i21]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR abs/2404.07103 (2024) - [i20]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 abs/2406.09187 (2024) - [i19]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 abs/2406.16135 (2024) - [i18]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:
LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR abs/2408.12787 (2024) - [i17]Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao:
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization. CoRR abs/2410.21764 (2024) - [i16]Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar:
On Memorization of Large Language Models in Logical Reasoning. CoRR abs/2410.23123 (2024) - 2023
- [j1]Micah Goldblum
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1563-1580 (2023) - [c8]Chulin Xie
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS 2023: 1511-1525 - [c7]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 - [i15]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 abs/2302.06637 (2023) - [i14]Shanshan Han, Baturalp Buyukates, Zijian Hu
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR abs/2306.04959 (2023) - [i13]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i12]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 abs/2310.10012 (2023) - [i11]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 abs/2310.11865 (2023) - 2022
- [c6]Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li:
CoPur: Certifiably Robust Collaborative Inference via Feature Purification. NeurIPS 2022 - [i10]Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li:
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR abs/2207.10226 (2022) - [i9]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 abs/2207.10265 (2022) - [i8]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 abs/2207.10308 (2022) - [i7]Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions. CoRR abs/2209.04022 (2022) - [i6]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 abs/2209.04030 (2022) - 2021
- [c5]Chulin Xie, Chuxin Wang, Bo Zhang
Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. CVPR 2021: 4619-4628 - [c4]Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li:
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML 2021: 11372-11382 - [i5]Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen:
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion. CoRR abs/2103.02535 (2021) - [i4]Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li:
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. CoRR abs/2106.08283 (2021) - [i3]Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang:
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. CoRR abs/2107.07240 (2021) - 2020
- [c3]Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li:
DBA: Distributed Backdoor Attacks against Federated Learning. ICLR 2020 - [i2]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 abs/2012.10544 (2020)
2010 – 2019
- 2019
- [c2]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 - [i1]Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen:
Attack-Resistant Federated Learning with Residual-based Reweighting. CoRR abs/1912.11464 (2019) - 2018
- [c1]Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng
Data Quality Transaction on Different Distributed Ledger Technologies. BigSDM 2018: 301-318
Coauthor Index
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