Linkang Du

33 papers A* 5A 2Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DWBench: Holistic Evaluation of Watermark for Dataset Copyright Auditing.
CoRR
Xiao Ren, Xinyi Yu, Linkang Du, Min Chen, Yuanchao Shu, Zhou Su, Yunjun Gao, Zhikun Zhang
2026 J jnl
Large Model-Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.
IEEE Commun. Surv. Tutorials
Yuntao Wang, Yanghe Pan, Zhou Su, Yi Deng, Quan Zhao, Linkang Du, Tom H. Luan, Jiawen Kang, Dusit Niyato
2026 J jnl
Navigating Embodied Intelligence: Enabling Technologies, Security and Privacy, and Emerging Trends.
IEEE Internet Things J.
Yuntao Wang, Xiaolin Niu, Jianle Ba, Zhou Su, Linkang Du
2026 J jnl
Revealing the Risk of Hyper-Parameter Leakage in Deep Reinforcement Learning Models.
IEEE Trans. Dependable Secur. Comput.
Linkang Du, Zhikun Zhang, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Michael Backes, Yang Zhang
2025 A* conf
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models.
WWW
Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2025 J jnl
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models.
CoRR
Linkang Du, Zheng Zhu, Min Chen, Zhou Su, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2025 J jnl
Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions.
CoRR
Qinnan Hu, Yuntao Wang, Yuan Gao, Zhou Su, Linkang Du
2025 J jnl
Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities.
CoRR
Yuntao Wang, Qinnan Hu, Zhou Su, Linkang Du, Qichao Xu
2025 — conf
MSA: A Cross-MCP Privacy Attack via Memory Exfiltration of Large Language Models.
WPES
Yiheng Sun, Linkang Du, Zhou Su, Yuntao Wang, Han Liu, Quan Zhao, Xiaolin Niu
2025 J jnl
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions.
IEEE Wirel. Commun.
Zhendong Li, Jianle Ba, Zhou Su, Jinyuan Huang, Haixia Peng, Wen Chen, Linkang Du, Tom H. Luan
2025 J jnl
PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data.
CoRR
Quan Yuan, Xiaochen Li, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen, Zhikun Zhang
2025 J jnl
RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation.
CoRR
Chenduo Ying, Linkang Du, Peng Cheng, Yuanchao Shu
2025 A* conf
SoK: Dataset Copyright Auditing in Machine Learning Systems.
SP
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang
2025 J jnl
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning.
CoRR
Oubo Ma, Linkang Du, Yang Dai, Chunyi Zhou, Qingming Li, Yuwen Pu, Shouling Ji
2025 J jnl
VICTOR: Dataset Copyright Auditing in Video Recognition Systems.
CoRR
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Shibo He, Jiming Chen
2024 J jnl
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.
CoRR
Yuntao Wang, Yanghe Pan, Quan Zhao, Yi Deng, Zhou Su, Linkang Du, Tom H. Luan
2024 A* conf
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning.
NDSS
Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2024 A conf
PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems.
AsiaCCS
Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang
2024 J jnl
PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics.
CoRR
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Mingyang Sun, Yunjun Gao, Michael Backes, Shibo He, Ji-ming Chen
2024 — conf
Poster Abstract: Leveraging Phase Offset for Stealthy Backdoor Attacks.
MSN
Yu Xia, Yan Ren, Linkang Du, Heng Zhang
2024 J jnl
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems.
CoRR
Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji
2024 J jnl
SoK: Dataset Copyright Auditing in Machine Learning Systems.
CoRR
Linkang Du, Xuanru Zhou, Min Chen, Chusong Zhang, Zhou Su, Peng Cheng, Jiming Chen, Zhikun Zhang
2024 J jnl
Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System.
IEEE Trans. Ind. Informatics
Yan Ren, Heng Zhang, Linkang Du, Zhikun Zhang, Jian Zhang, Hongran Li
2023 J jnl
Backdoor attacks against deep reinforcement learning based traffic signal control systems.
Peer Peer Netw. Appl.
Heng Zhang, Jun Gu, Zhikun Zhang, Linkang Du, Yongmin Zhang, Yan Ren, Jian Zhang, Hongran Li
2023 J jnl
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning.
CoRR
Linkang Du, Min Chen, Mingyang Sun, Shouling Ji, Peng Cheng, Jiming Chen, Zhikun Zhang
2023 A* conf
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information.
USENIX Security Symposium
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
2023 J jnl
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information.
CoRR
Quan Yuan, Zhikun Zhang, Linkang Du, Min Chen, Peng Cheng, Mingyang Sun
2021 A* conf
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
CCS
Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2021 J jnl
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
CoRR
Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2020 A conf
PLC-Sleuth: Detecting and Localizing PLC Intrusions Using Control Invariants.
RAID
Zeyu Yang, Liang He, Peng Cheng, Jiming Chen, David K. Y. Yau, Linkang Du
2020 J jnl
Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.
IEEE Trans. Signal Process.
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen
2019 — conf
Differential Privacy-preserving Distributed Machine Learning.
CDC
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen
2019 J jnl
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.
CoRR
Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen