9 papers
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…
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…