Differential Privacy-preserving Distributed Machine Learning. - Xin Wang 044; Hideaki Ishii; Linkang Du; Peng Cheng 001; Jiming Chen 001 (CDC, 2019)

PLC-Sleuth: Detecting and Localizing PLC Intrusions Using Control Invariants. - Zeyu Yang 001; Liang He 002; Peng Cheng 001; Jiming Chen 001; David K. Y. Yau; Linkang Du (RAID, 2020)

Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation. - Xin Wang 044; Hideaki Ishii; Linkang Du; Peng Cheng 001; Jiming Chen 001 (IEEE Trans. Signal Process., 2020)

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. - Linkang Du; Zhikun Zhang 001; Shaojie Bai; Changchang Liu; Shouling Ji; Peng Cheng 001; Jiming Chen 001 (CCS, 2021)

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information. - Quan Yuan; Zhikun Zhang 001; Linkang Du; Min Chen 032; Peng Cheng 001; Mingyang Sun (USENIX Security Symposium, 2023)

Backdoor attacks against deep reinforcement learning based traffic signal control systems. - Heng Zhang 001; Jun Gu; Zhikun Zhang 001; Linkang Du; Yongmin Zhang; Yan Ren; Jian Zhang 082; Hongran Li (Peer Peer Netw. Appl., 2023)

PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems. - Linkang Du; Quan Yuan; Min Chen 032; Mingyang Sun; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (AsiaCCS, 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 001; Yingcai Wu; Shouling Ji (CCS, 2024)

Poster Abstract: Leveraging Phase Offset for Stealthy Backdoor Attacks. - Yu Xia; Yan Ren; Linkang Du; Heng Zhang (MSN, 2024)

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning. - Linkang Du; Min Chen 032; Mingyang Sun; Shouling Ji; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (NDSS, 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; Shouling Ji (CoRR, 2024)

Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends. - Yuntao Wang 004; Yanghe Pan; Quan Zhao; Yi Deng; Zhou Su; Linkang Du; Tom H. Luan (CoRR, 2024)

PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics. - Quan Yuan; Zhikun Zhang 001; Linkang Du; Min Chen 032; Mingyang Sun; Yunjun Gao; Michael Backes 001; Shibo He; Ji-ming Chen 001 (CoRR, 2024)

Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System. - Yan Ren; Heng Zhang 001; Linkang Du; Zhikun Zhang 001; Jian Zhang 082; Hongran Li (IEEE Trans. Ind. Informatics, 2024)

SoK: Dataset Copyright Auditing in Machine Learning Systems. - Linkang Du; Xuanru Zhou; Min Chen 032; Chusong Zhang; Zhou Su; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (SP, 2025)

ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models. - Linkang Du; Zheng Zhu; Min Chen 032; Zhou Su; Shouling Ji; Peng Cheng 001; Jiming Chen 001; Zhikun Zhang 001 (WWW, 2025)

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning. - Oubo Ma; Linkang Du; Yang Dai; Chunyi Zhou; Qingming Li; Yuwen Pu; Shouling Ji (CoRR, 2025)

Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities. - Yuntao Wang 004; Qinnan Hu; Zhou Su; Linkang Du; Qichao Xu (CoRR, 2025)