Junyuan Hong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Diffusion Models

Generalization Ability

Top Venues

Publications

Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR (2024)
Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi
On the Generalization Ability of Unsupervised Pretraining. CoRR (2024)
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 (2024)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. ICLR (2024)
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Safe and Robust Watermark Injection with a Single OoD Image. ICLR (2024)
Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD (2024)
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. SaTML (2024)
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. CoRR (2024)
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
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR (2024)
Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi
On the Generalization Ability of Unsupervised Pretraining. AISTATS (2024)
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. CoRR (2023)
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. CoRR (2023)
Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou
Understanding Deep Gradient Leakage via Inversion Influence Functions. CoRR (2023)
Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space. CoRR (2023)
Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR (2023)
Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning. CoRR (2023)
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. ICML (2023)
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Safe and Robust Watermark Injection with a Single OoD Image. CoRR (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR (2023)
Haobo Zhang, Junyuan Hong, Fan Dong, Steve Drew, Liangjie Xue, Jiayu Zhou
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection. CoRR (2023)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. AAAI (2023)
Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou
Understanding Deep Gradient Leakage via Inversion Influence Functions. NeurIPS (2023)
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023)
Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
International Workshop on Federated Learning for Distributed Data Mining. KDD (2023)
Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. ICLR (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR (2022)
Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. ICML (2022)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR (2022)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. CoRR (2022)
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. CoRR (2022)
Junyuan Hong, Zhangyang Wang, Jiayu Zhou
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. FAccT (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS (2022)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. ICLR (2022)
Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou
Federated Adversarial Debiasing for Fair and Transferable Representations. KDD (2021)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Learning Model-Based Privacy Protection under Budget Constraints. AAAI (2021)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. CoRR (2021)
Junyuan Hong, Zhangyang Wang, Jiayu Zhou
On Dynamic Noise Influence in Differentially Private Learning. CoRR (2021)
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
Data-Free Knowledge Distillation for Heterogeneous Federated Learning. CoRR (2021)
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
Data-Free Knowledge Distillation for Heterogeneous Federated Learning. ICML (2021)
Junyuan Hong, Yang Li, Huanhuan Chen
Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition. ACM Trans. Knowl. Discov. Data 13 (2) (2019)
Yang Li, Junyuan Hong, Huanhuan Chen
Short Sequence Classification Through Discriminable Linear Dynamical System. IEEE Trans. Neural Networks Learn. Syst. 30 (11) (2019)
Junyuan Hong, Huanhuan Chen, Feng Lin
Disturbance Grassmann Kernels for Subspace-Based Learning. CoRR (2018)
Junyuan Hong, Huanhuan Chen, Feng Lin
Disturbance Grassmann Kernels for Subspace-Based Learning. KDD (2018)
Yang Li, Junyuan Hong, Huanhuan Chen
Sequential Data Classification in the Space of Liquid State Machines. ECML/PKDD (1) (2016)