Fan Wu

According to our database, Fan Wu authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning.

Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

CoRR, May, 2025

Empirical Privacy Variance.

Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth

CoRR, March, 2025

2024

SoK: Privacy-Preserving Data Synthesis.

Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

Factor Graph Neural Networks.

Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee

J. Mach. Learn. Res., 2023

Understanding the Impact of Adversarial Robustness on Accuracy Disparity.

Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

Proceedings of the International Conference on Machine Learning, 2023

2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

CoRR, 2022

LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.

Fan Wu, Yunhui Long, Ce Zhang, Bo Li

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.

Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination.

Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Twelvefold Way of Non-Sequential Lossless Compression.

Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney

Proceedings of the 31st Data Compression Conference, 2021

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song

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

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.

Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Factor Graph Neural Networks.

Zhen Zhang, Fan Wu, Wee Sun Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Factor Graph Neural Network.

Zhen Zhang, Fan Wu, Wee Sun Lee

CoRR, 2019