2024

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, and Shouling Ji
ACM CCS 2024

PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems
Linkang Du*, Quan Yuan*, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang
(* means equal contribution.)
ACM ASIACCS 2024

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