ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
NDSS 2024
2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
USENIX Security 2023
2022
Backdoor attacks against deep reinforcement learning based traffic signal control systems
Heng Zhang, Jun Gu, Zhikun Zhang, Linkang Du, Yongmin Zhang, Yan Ren, Jian Zhang, Hongran Li
Peer-to-Peer Networking and Applications
2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
ACM CCS 2021
2020
Privacy-preserving distributed machine learning via local randomization and ADMM perturbation
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen
IEEE Transactions on Signal Processing (TSP)
PLC-Sleuth: Detecting and Localizing PLC Intrusions Using Control Invariants
Zeyu Yang, Liang He, Peng Cheng, Jiming Chen, David KY Yau, Linkang Du
USENIX RAID 2020
2019
Differential privacy-preserving distributed machine learning
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen
IEEE CDC 2019