Highlights of my publications are listed below. For a complete list, please refer to my Google Scholar.
- Trustworthy Machine Learning
- Machine Unlearning
- [CCS’22a] Graph unlearning
- [CCS’21] New attack surfaces
- Data Ownership Auditing
- [Oakland’25] SoK: Dataset copyright auditing
- [WWW’25] Data auditing for text to image models
- [NDSS’24a] Data auditing for reinforcement learning models
- [Security’23a] Data auditing for facial recognition systems
- Attacks and Defenses
- [ASIACCS’24] Poisoning attacks against recommender systems
- [NDSS’24b] Backdoor attacks against prompt-tuning
- [CCS’23] DPMLBench: Holistic evaluation of DPML
- [USENIX’23b] PrivGraph: Graph data synthesis under DP
- [ICC’23] Watermarking GNNs against model extraction
- [USENIX’22] Inference attacks against GNNs
- [CCS’22b] Reconstruction attacks against GNNs
- Machine Unlearning
2025
SoK: Dataset Copyright Auditing in Machine Learning Systems
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang
To appear in IEEE S&P 2025 [PDF] [Code]
ArtistAuditor: Auditing Artist Style Pirate in Text-to-image Generation Models
Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
To appear in WWW 2025 [PDF] [Code]
2024
ORL-Auditor: Dataset Auditing in Offline Deep Reinforcement Learning
Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
Auditing Artist Style Pirate in Text-to-image Generation Models
Linkang Du, Zheng Zhu, Min Chen, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
LMSanitator: Defending Task-agnostic Backdoors Against Prompt-tuning
Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems
Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang
2023
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Chengkun Wei, Minghu Zhao, Zhikun Zhang, Min Chen, Wenlong Meng, Bo Liu, Yuan Fan, Wenzhi Chen
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang
In USENIX Security 2023 [PDF] [Code]
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
In USENIX Security 2023 [PDF] [Code]
Making Watermark Survive Model Extraction Attacks in Graph Neural Networks
Haiming Wang, Zhikun Zhang, Min Chen, Shibo He
2022
Graph Unlearning
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2022) [PDF] [Code]
Finding MNEMON: Reviving Memories of Node Embeddings
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2022) [PDF] [Code]
Inference Attacks Against Graph Embedding
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang
In USENIX Security Symposium (USENIX Security 2022). [PDF] [Code]
2021
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2021) [PDF] [Code]
Graph Unlearning
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Tecnnical report [PDF]
2015
RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks
Yanjun Li, Lingkun Fu, Min Chen, Kaikai Chi, Yi-hua Zhu
IEEE Communications Letters [PDF]
Ultra-low power consumption passive structure health monitoring system and method
Zhiguo Shi, Min Chen(Leading Author), Jiming Chen