RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks. - Yanjun Li 004; Lingkun Fu; Min Chen 032; Kaikai Chi; Yi-hua Zhu 001 (IEEE Commun. Lett., 2015)

When Machine Unlearning Jeopardizes Privacy. - Min Chen 032; Zhikun Zhang 001; Tianhao Wang 001; Michael Backes 001; Mathias Humbert; Yang Zhang 016 (CCS, 2021)

Graph Unlearning. - Min Chen 032; Zhikun Zhang 001; Tianhao Wang 001; Michael Backes 001; Mathias Humbert; Yang Zhang 016 (CCS, 2022)

Finding MNEMON: Reviving Memories of Node Embeddings. - Yun Shen; Yufei Han 001; Zhikun Zhang 001; Min Chen 032; Ting Yu 001; Michael Backes 001; Yang Zhang 016; Gianluca Stringhini (CCS, 2022)

Inference Attacks Against Graph Neural Networks. - Zhikun Zhang 001; Min Chen 032; Michael Backes 001; Yun Shen; Yang Zhang 016 (USENIX Security Symposium, 2022)

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning. - Chengkun Wei; Minghu Zhao; Zhikun Zhang 001; Min Chen 032; Wenlong Meng; Bo Liu; Yuan Fan; Wenzhi Chen (CCS, 2023)

Making Watermark Survive Model Extraction Attacks in Graph Neural Networks. - Haiming Wang; Zhikun Zhang 001; Min Chen 032; Shibo He (ICC, 2023)

FACE-AUDITOR: Data Auditing in Facial Recognition Systems. - Min Chen 032; Zhikun Zhang 001; Tianhao Wang 001; Michael Backes 001; Yang Zhang 016 (USENIX Security Symposium, 2023)

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. - Quan Yuan; Zhikun Zhang 001; Linkang Du; Min Chen 032; Peng Cheng 001; Mingyang Sun (USENIX Security Symposium, 2023)

PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems. - Linkang Du; Quan Yuan; Min Chen 032; Mingyang Sun; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (AsiaCCS, 2024)

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. - Linkang Du; Min Chen 032; Mingyang Sun; Shouling Ji; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (NDSS, 2024)

LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors. - Chengkun Wei; Wenlong Meng; Zhikun Zhang 001; Min Chen 032; Minghu Zhao; Wenjing Fang; Lei Wang 152; Zihui Zhang; Wenzhi Chen (NDSS, 2024)

PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics. - Quan Yuan; Zhikun Zhang 001; Linkang Du; Min Chen 032; Mingyang Sun; Yunjun Gao; Michael Backes 001; Shibo He; Ji-ming Chen 001 (CoRR, 2024)

Understanding and assessment of privacy risks in machine learning systems. - Min Chen 032 (2024)

SoK: Dataset Copyright Auditing in Machine Learning Systems. - Linkang Du; Xuanru Zhou; Min Chen 032; Chusong Zhang; Zhou Su; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (SP, 2025)

ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. - Linkang Du; Zheng Zhu; Min Chen 032; Zhou Su; Shouling Ji; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (WWW, 2025)

GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors. - Wenlong Meng; Shuguo Fan; Chengkun Wei; Min Chen 032; Yuwei Li; Yuanchao Zhang; Zhikun Zhang 001; Wenzhi Chen (CoRR, 2025)