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Tianneng Shi

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#artificial intelligence Preprint Sep 2026

AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents

AI agents combine language models with external data and tools that can modify files, call APIs, or execute code. Security failures can arise when adversarial content changes an agent's tool use or when the surrounding software contains vulnerabilities such as path traversal or command injection. We study authorized wh...

Wei-Da Liang, Shi Qiu, Zhun Wang et al. · 0 citations
Jun 2026

Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens

SafeClawArena is developed, a benchmark of 406 adversarial tasks executed in containerized replicas of real agent platforms with canary-marked credentials and evaluated via automated taint tracking across nine output channels, exposing the inadequacy of current defenses and suggesting directions for future hardening.

Peizhi Niu, Wenjie Qu, Shangding Gu et al. · 2 citations

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