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Personalized Federated Learning via Heterogeneous Modular Networks


Oct 26, 2022
Tianchun Wan, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang

* IEEE International Conference on Data Mining, 2022 

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FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification


Oct 25, 2022
Yulin Zhu, Liang Tong, Kai Zhou


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FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems


Apr 08, 2021
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

* Accepted by CVPR'21 

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Towards Robustness against Unsuspicious Adversarial Examples


May 08, 2020
Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik

* v1.0 

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Defending Against Physically Realizable Attacks on Image Classification


Sep 20, 2019
Tong Wu, Liang Tong, Yevgeniy Vorobeychik

* v1.0 

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Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning


Jun 20, 2019
Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

* v1.0 

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A Framework for Validating Models of Evasion Attacks on Machine Learning, with Application to PDF Malware Detection


Jun 13, 2018
Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Yevgeniy Vorobeychik

* 1. v3.0 

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Adversarial Regression with Multiple Learners


Jun 06, 2018
Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik

* Accepted by ICML'18 

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