Publications | Junyuan Hong

VLDB (Best Paper Finalist) 2024 LLM-PBE: Assessing Data Privacy in Large Language Models.
Qinbin Li, Junyuan "Jason" Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song.

ArXiv 2024 GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning.
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan "Jason" Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li.

ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
Junyuan "Jason" Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li.

ICML 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
Yihua Zhang, Pingzhi Li, Junyuan "Jason" Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen.

LLM Agents 2024 A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention.
Junyuan "Jason" Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H. Dodge, Jiayu Zhou, Zhangyang Wang.

AISTATS 2024 On the Generalization Ability of Unsupervised Pretraining.
Yuyang Deng, Junyuan "Jason" Hong, Jiayu Zhou, Mehrdad Mahdavi.

ICLR 2024 Safe and Robust Watermark Injection with a Single OoD Image.
Shuyang Yu, Junyuan "Jason" Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou.

SaTML 2023 Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
Zhangheng Li, Junyuan "Jason" Hong, Bo Li, Zhangyang Wang.

ICLR (Spotlight) 2023 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.
Junyuan "Jason" Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang.

NeurIPS-RegML 2023 Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning.
Shuyang Yu, Junyuan "Jason" Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou.

NeurIPS 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions.
Haobo Zhang, Junyuan "Jason" Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou.

FL4DM 2023 FedNoisy: A Federated Noisy Label Learning Benchmark.
Siqi Liang, Jintao Huang, Junyuan "Jason" Hong, Fan Dong, Dun Zeng, Jiayu Zhou, Zenglin Xu.

FL4DM 2023 A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection.
Haobo Zhang, Junyuan "Jason" Hong, Fan Dong, Steve Drew, Liangjie Xue, Jiayu Zhou.

ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.
Junyuan "Jason" Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou.

TMLR 2023 How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.
Haotao Wang, Junyuan "Jason" Hong, Jiayu Zhou, Zhangyang Wang.

ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation.
Junyuan "Jason" Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger.

ICLR (Spotlight) 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection.
Shuyang Yu, Junyuan "Jason" Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou.

AAAI (Oral) 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.
Junyuan "Jason" Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou.

Preprint 2022 Precautionary Unfairness in Self-Supervised Contrastive Pre-training.
Junyuan "Jason" Hong, Haotao Wang, Haobo Zhang, Zhangyang Wang, Jiayu Zhou.

NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.
Haotao Wang, Junyuan "Jason" Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang.

NeurIPS 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling.
Junyuan "Jason" Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger.

ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems.
Zhuangdi Zhu, Junyuan "Jason" Hong, Steve Drew, Jiayu Zhou.

FAccT 2022 Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.
Junyuan "Jason" Hong, Zhangyang Wang, Jiayu Zhou.

ICLR 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.
Junyuan "Jason" Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou.

KDD 2021 Federated Adversarial Debiasing for Fair and Trasnferable Representations.
Junyuan "Jason" Hong, Zhuangdi Zhu, Shuyang Yu, Hiroko Dodge, Zhangyang Wang, Jiayu Zhou.

ICML 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning.
Zhuangdi Zhu, Junyuan "Jason" Hong, Jiayu Zhou.

AAAI 2021 Learning Model-Based Privacy Protection under Budget Constraints.
Junyuan "Jason" Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou.

AD 2020 Detecting MCI using real-time, ecologically valid data capture methodology: How to improve scientific rigor in digital biomarker analyses.
Junyuan "Jason" Hong, Jeffrey Kaye, Hiroko H Dodge, Jiayu Zhou.

TKDD 2019 Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition.
Junyuan "Jason" Hong, Yang Li, Huanhuan Chen.

TNNLS 2019 Short Sequence Classification Through Discriminable Linear Dynamical System.
Yang Li, Junyuan "Jason" Hong, Huanhuan Chen.

KDD (Oral) 2018 Disturbance Grassmann Kernels for Subspace-Based Learning.
Junyuan "Jason" Hong, Huanhuan Chen, Feng Lin.

ECML 2016 Sequential Data Classification in the Space of Liquid State Machines.
Yang Li, Junyuan "Jason" Hong, Huanhuan Chen.