Publications

NeurIPS 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions.
Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou. PDF Code
Preprint 2023 Safe and Robust Watermark Injection with a Single OoD Image.
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou. PDF
FL4DM 2023 FedNoisy: A Federated Noisy Label Learning Benchmark.
Siqi Liang, Jintao Huang, Junyuan Hong, Fan Dong, Dun Zeng, Jiayu Zhou, Zenglin Xu. PDF Code
FL4DM 2023 A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection.
Haobo Zhang, Junyuan Hong, Fan Dong, Steve Drew, Liangjie Xue, Jiayu Zhou. PDF Code
ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou. PDF Code Poster
TMLR 2023 How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang. PDF
ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation.
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger. PDF Code Slides
ICLR (spotlight) 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection.
Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou. PDF Code
AAAI (oral) 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou. Preprint Code Poster
Preprint 2022 Precautionary Unfairness in Self-Supervised Contrastive Pre-training.
Junyuan Hong, Haotao Wang, Haobo Zhang, Zhangyang Wang, Jiayu Zhou. Preprint
NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang. PDF Code
NeurIPS 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling.
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger. PDF Poster Slides
ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems.
Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou. PDF
FAccT 2022 Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.
Junyuan Hong, Zhangyang Wang, Jiayu Zhou. Preprint Slides
ICLR 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou. PDF Code Slides Video
KDD (Oral) 2021 Federated Adversarial Debiasing for Fair and Trasnferable Representations.
Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Hiroko Dodge, Zhangyang Wang, Jiayu Zhou. PDF Code Slides
ICML 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning.
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou. Preprint Code
AAAI 2021 Learning Model-Based Privacy Protection under Budget Constraints.
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou. PDF Slides Video Supplementary
TKDD 2019 Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition.
Junyuan Hong, Yang Li, Huanhuan Chen. PDF DOI
TNNLS 2019 Short Sequence Classification Through Discriminable Linear Dynamical System.
Yang Li, Junyuan Hong, Huanhuan Chen. DOI
KDD (Oral) 2018 Disturbance Grassmann Kernels for Subspace-Based Learning.
Junyuan Hong, Huanhuan Chen, Feng Lin. PDF Cite Video DOI Supplementary
ECML 2016 Sequential Data Classification in the Space of Liquid State Machines.
Yang Li, Junyuan Hong, Huanhuan Chen. PDF Code