8 citations · 8 across the 10 of their papers we have counts for
12 papers
SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs
Fahao Chen, Linkang Du, Jinhao Zhou +2
Sparse attention is widely used to accelerate long-context inference in modern large language models (LLMs), but its input-dependent execution behavior introduces previously unexpl…
Safety in Self-Evolving Agents: A Survey
Jiahao Chen, Zhou Feng, Oubo Ma +28
Large language models (LLMs) exhibit strong general capabilities, yet their parameters typically remain fixed after deployment, limiting learning from new interactions. In open-end…
PLCBench: Can Autonomous LLM Agents Turn PLC Access into Sustained Physical Impact?
Yitian Zhou, Jingyu Zheng, Qiliang Jiang +6
Industrial control systems (ICSs) rely on programmable logic controllers (PLCs) to connect networked computation with physical control. Tool-using large language model (LLM) agents…
When Experience Becomes Instruction: Trajectory Poisoning in Self-Evolving Agent Skill Systems
Jialuo Chen, Lingqi Jiang, Xinhao Deng +7
Self-evolving skill (SES) systems distill agent trajectories into persistent skills, allowing untrusted experience to become trusted instruction. We introduce PoisonedEvolution, a…
SkillTrace: Multi-Trace Provenance Auditing for LLM-Agent Skill Reuse
Jialuo Chen, Minghe Wang, Lingqi Jiang +7
LLM-agent ecosystems are rapidly growing around reusable skills: mixed-modality packages of metadata, natural-language instructions, code, tools, references, and operational workfl…
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content
Bing Liu, Shunping Wang, Yufan Zhu +5
This paper presents a survey and taxonomy of LLM fingerprinting and watermarking for identity, ownership verification, provenance, and generated-content attribution. Large language…
Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models
Peiqi Jia, Haonan Jia, Ziqi Miao +3
With the widespread deployment of Multimodal Large Language Models (MLLMs) in social interaction, understanding and controlling their behavior under complex personality conditions…
Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures
Yuntao Wang, Jianle Ba, Han Liu +5
The rapid evolution of large language model (LLM)-driven autonomous agents has given rise to OpenClaw, a new class of open-source agent frameworks that operate as continuously runn…
DWBench: Holistic Evaluation of Watermark for Dataset Copyright Auditing
Xiao Ren, Xinyi Yu, Linkang Du +5
The surging demand for large-scale datasets in deep learning has heightened the need for effective copyright protection, given the risks of unauthorized use to data owners. Althoug…
Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions
Qinnan Hu, Yuntao Wang, Yuan Gao +3
Large language models (LLMs)-empowered autonomous agents are transforming both digital and physical environments by enabling adaptive, multi-agent collaboration. While these agents…
Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities
Yuntao Wang, Qinnan Hu, Zhou Su +3
The Metaverse represents a transformative shift beyond traditional mobile Internet, creating an immersive, persistent digital ecosystem where users can interact, socialize, and wor…
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions
Zhendong Li, Jianle Ba, Zhou Su +5
The movable antenna (MA)-enabled integrated sensing and communication (ISAC) system attracts widespread attention as an innovative framework. The ISAC system integrates sensing and…