フォロー
Min Chen
タイトル
引用先
引用先
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
2512021
Graph unlearning
M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022
1752022
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
1362022
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
762023
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
542015
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
172022
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
142023
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
142023
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
102023
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
92023
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
72024
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
22024
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
12024
Making Watermark Survive Model Extraction Attacks in Graph Neural Networks
H Wang, Z Zhang, M Chen, S He
IEEE International Conference on Communications, 2023
12023
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
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