When machine unlearning jeopardizes privacy M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021 | 251 | 2021 |
Graph unlearning M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022 | 175 | 2022 |
Inference attacks against graph neural networks Z Zhang, M Chen, M Backes, Y Shen, Y Zhang 31st USENIX Security Symposium (USENIX Security 22), 4543-4560, 2022 | 136 | 2022 |
Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary M Chen, W Gao, G Liu, K Peng, C Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 76 | 2023 |
RF-based charger placement for duty cycle guarantee in battery-free sensor networks Y Li, L Fu, M Chen, K Chi, Y Zhu IEEE Communications Letters 19 (10), 1802-1805, 2015 | 54 | 2015 |
Finding MNEMON: Reviving Memories of Node Embeddings Y Shen, Y Han, Z Zhang, M Chen, T Yu, M Backes, Y Zhang, G Stringhini ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022 | 17 | 2022 |
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information Q Yuan, Z Zhang, L Du, M Chen, P Cheng, M Sun 32th USENIX Security Symposium (USENIX Security 23), 2023 | 14 | 2023 |
FACE-AUDITOR: Data Auditing in Facial Recognition Systems M Chen, Z Zhang, T Wang, M Backes, Y Zhang 32th USENIX Security Symposium (USENIX Security 2023), 2023 | 14 | 2023 |
Lmsanitator: Defending prompt-tuning against task-agnostic backdoors C Wei, W Meng, Z Zhang, M Chen, M Zhao, W Fang, L Wang, Z Zhang, ... arXiv preprint arXiv:2308.13904, 2023 | 10 | 2023 |
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning C Wei, M Zhao, Z Zhang, M Chen, W Meng, B Liu, Y Fan, W Chen Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 9 | 2023 |
ORL-Auditor: Dataset Auditing in Offline Deep Reinforcement Learning L Du, M Chen, M Sun, S Ji, P Cheng, J Chen, Z Zhang The Network and Distributed System Security Symposium (NDSS) 2024, 2024 | 7 | 2024 |
WIP: Auditing Artist Style Pirate in Text-to-image Generation Models L Du, Z Zhu, M Chen, S Ji, P Cheng, J Chen, Z Zhang Proceedings of the Network and Distributed System Security Symposium, NDSS, 2024 | 2 | 2024 |
PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems L Du, Q Yuan, M Chen, M Sun, P Cheng, J Chen, Z Zhang Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024 | 1 | 2024 |
Making Watermark Survive Model Extraction Attacks in Graph Neural Networks H Wang, Z Zhang, M Chen, S He IEEE International Conference on Communications, 2023 | 1 | 2023 |
PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics Q Yuan, Z Zhang, L Du, M Chen, M Sun, Y Gao, M Backes, S He, J Chen arXiv preprint arXiv:2412.11369, 2024 | | 2024 |
SoK: Dataset Copyright Auditing in Machine Learning Systems L Du, X Zhou, M Chen, C Zhang, Z Su, P Cheng, J Chen, Z Zhang arXiv preprint arXiv:2410.16618, 2024 | | 2024 |
LMSanitator: Defending Task-agnostic Backdoors Against Prompt-tuning C Wei, W Meng, Z Zhang, M Chen, M Zhao, W Fang, L Wang, Z Zhang, ... The Network and Distributed System Security Symposium (NDSS) 2024, 2024 | | 2024 |
Understanding and assessment of privacy risks in machine learning systems M Chen Saarländische Universitäts-und Landesbibliothek, 2024 | | 2024 |
ArtistAuditor: Auditing Artist Style Pirate in Text-to-image Generation Models L Du, Z Zhu, M Chen, S Ji, P Cheng, J Chen, Z Zhang THE WEB CONFERENCE 2025, 0 | | |