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Linkang Du
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Year
Privacy-preserving distributed machine learning via local randomization and ADMM perturbation
X Wang, H Ishii, L Du, P Cheng, J Chen
IEEE Transactions on Signal Processing 68, 4226-4241, 2020
602020
AHEAD: adaptive hierarchical decomposition for range query under local differential privacy
L Du, Z Zhang, S Bai, C Liu, S Ji, P Cheng, J Chen
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
342021
{PLC-Sleuth}: Detecting and Localizing {PLC} Intrusions Using Control Invariants
Z Yang, L He, P Cheng, J Chen, DKY Yau, L Du
23rd International Symposium on Research in Attacks, Intrusions and Defenses …, 2020
302020
{PrivGraph}: Differentially Private Graph Data Publication by Exploiting Community Information
Q Yuan, Z Zhang, L Du, M Chen, P Cheng, M Sun
32nd USENIX Security Symposium (USENIX Security 23), 3241-3258, 2023
152023
Differential privacy-preserving distributed machine learning
X Wang, H Ishii, L Du, P Cheng, J Chen
2019 IEEE 58th Conference on Decision and Control (CDC), 7339-7344, 2019
102019
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
L Du, M Chen, M Sun, S Ji, P Cheng, J Chen, Z Zhang
arXiv preprint arXiv:2309.03081, 2023
82023
Backdoor attacks against deep reinforcement learning based traffic signal control systems
H Zhang, J Gu, Z Zhang, L Du, Y Zhang, Y Ren, J Zhang, H Li
Peer-to-Peer Networking and Applications 16 (1), 466-474, 2023
62023
Stealthy black-box attack with dynamic threshold against marl-based traffic signal control system
Y Ren, H Zhang, L Du, Z Zhang, J Zhang, H Li
IEEE Transactions on Industrial Informatics, 2024
32024
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
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Y Wang, Y Pan, Q Zhao, Y Deng, Z Su, L Du, TH Luan
arXiv preprint arXiv:2409.14457, 2024
12024
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
O Ma, L Du, Y Dai, C Zhou, Q Li, Y Pu, S Ji
arXiv preprint arXiv:2501.15529, 2025
2025
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions
Z Li, J Ba, Z Su, J Huang, H Peng, W Chen, L Du, TH Luan
arXiv preprint arXiv:2412.20819, 2024
2024
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
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
O Ma, Y Pu, L Du, Y Dai, R Wang, X Liu, Y Wu, S Ji
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 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
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
2024
VU Research Portal
L Du, Q Yuan, M Chen, M Sun, P Cheng, J Chen, Z Zhang
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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Articles 1–18