Chulin Xie

According to our database, Chulin Xie authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TablePuppet: A Generic Framework for Relational Federated Learning.

Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang

CoRR, 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 Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

CoRR, 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text.

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

CoRR, 2024

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, Tom Goldstein

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Effective and Efficient Federated Tree Learning on Hybrid Data.

Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

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

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.

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

CoRR, 2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

CoRR, 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, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

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

CoRR, 2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions.

Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li

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, Dawn Song

CoRR, 2022

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.

Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li

CoRR, 2022

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.

Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li

CoRR, 2022

CoPur: Certifiably Robust Collaborative Inference via Feature Purification.

Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks.

Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion.

Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DBA: Distributed Backdoor Attacks against Federated Learning.

Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Attack-Resistant Federated Learning with Residual-based Reweighting.

Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen

CoRR, 2019

Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain.

Xin Yan, Lin Li, Chulin Xie, Jun Xiao, Lin Gu

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Data Quality Transaction on Different Distributed Ledger Technologies.

Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu

Proceedings of the Big Scientific Data Management, 2018