Researchers have developed LivePI, a new benchmark designed to more realistically assess the risks of indirect prompt injection in AI agents. This benchmark simulates real-world scenarios across various input channels like email, web pages, and chat, evaluating twelve attack families and five malicious goals. Initial tests on leading models such as GPT-5.3-Codex and Claude Opus 4.6 revealed significant vulnerabilities, with group-chat injections proving universally successful and repository link attacks causing high-severity failures. A proposed two-layer defense, combining prompt filtering and tool-call authorization, demonstrated effectiveness in blocking malicious actions without compromising agent utility. AI
影响 Highlights critical security vulnerabilities in current AI agents, necessitating robust defenses for safe deployment.
排序理由 The cluster describes a new academic paper introducing a novel benchmark for AI safety research. [lever_c_demoted from research: ic=1 ai=1.0]
在 Hugging Face Daily Papers 阅读 →
- AI agents
- Claude Opus 4.6
- Gemini 3.1 Pro
- GLM-5
- GPT-5.3-Codex
- indirect prompt injection
- Kimi K2.5
- LivePI
- OpenClaw
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