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cs.CR2026

MMSkillRisk: Can Agents Stay Safe When Multimodal Skills Become Traps?

Lingqi Jiang, Jialuo Chen, Jianan Ma +8

Agent skills are shareable packages of procedural instructions, tools, and examples. Multimodal skills additionally include visual references that agents retrieve and inspect durin…

cs.CR2026

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies

Ruixiao Lin, Xinhao Deng, Qingming Li +12

Self-evolving LLM agent systems, which autonomously update their model parameters, memory, tools, and architectures, introduce a qualitatively new threat landscape in which adversa…

cs.CR2026

ASEval: Automated Trajectory-Level Security Testing for Autonomous Agents

Jianan Ma, Xiaohu Du, Ruixiao Lin +9

As autonomous agents (e.g., OpenClaw) increasingly operate with deep system-level privileges to execute complex tasks, they introduce severe, unmitigated security risks. Existing L…

cs.CR2026

Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats

Xinhao Deng, Yixiang Zhang, Jiaqing Wu +15

Autonomous Large Language Model (LLM) agents, exemplified by OpenClaw, demonstrate remarkable capabilities in executing complex, long-horizon tasks. However, their tightly coupled…

cs.CR2025

GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization

Zhenliang Gan, Chunya Liu, Yichao Tang +4

The proliferation of generative image models has revolutionized AIGC creation while amplifying concerns over content provenance and manipulation forensics. Existing methods are typ…