Linkang Du

Orcid: 0009-0004-9028-9326

According to our database1, Linkang Du authored at least 31 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content.
CoRR, May, 2026

Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures.
CoRR, May, 2026

Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning.
CoRR, May, 2026

DWBench: Holistic Evaluation of Watermark for Dataset Copyright Auditing.
CoRR, February, 2026

Revealing the Risk of Hyper-Parameter Leakage in Deep Reinforcement Learning Models.
IEEE Trans. Dependable Secur. Comput., 2026

Navigating Embodied Intelligence: Enabling Technologies, Security and Privacy, and Emerging Trends.
IEEE Internet Things J., 2026

Large Model-Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.
IEEE Commun. Surv. Tutorials, 2026

VICTOR: Dataset Copyright Auditing in Video Recognition Systems.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

PrivATE: Differentially Private Average Treatment Effect Estimation for Observational Data.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions.
IEEE Wirel. Commun., December, 2025

Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions.
CoRR, September, 2025

RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation.
CoRR, August, 2025

Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities.
CoRR, February, 2025

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning.
CoRR, January, 2025

ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models.
Proceedings of the ACM on Web Conference 2025, 2025

MSA: A Cross-MCP Privacy Attack via Memory Exfiltration of Large Language Models.
Proceedings of the 24th Workshop on Privacy in the Electronic Society, 2025

SoK: Dataset Copyright Auditing in Machine Learning Systems.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

2024
Stealthy Black-Box Attack With Dynamic Threshold Against MARL-Based Traffic Signal Control System.
IEEE Trans. Ind. Informatics, October, 2024

PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal Dynamics.
CoRR, 2024

Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.
CoRR, 2024

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems.
CoRR, 2024

ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Poster Abstract: Leveraging Phase Offset for Stealthy Backdoor Attacks.
Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

<i>SUB-PLAY: </i> Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
Backdoor attacks against deep reinforcement learning based traffic signal control systems.
Peer Peer Netw. Appl., January, 2023

PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information.
Proceedings of the 32nd USENIX Security Symposium, 2023

2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation.
IEEE Trans. Signal Process., 2020

PLC-Sleuth: Detecting and Localizing PLC Intrusions Using Control Invariants.
Proceedings of the 23rd International Symposium on Research in Attacks, 2020

2019
Differential Privacy-preserving Distributed Machine Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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