The survey organizes security threats and defenses in autonomous LLM agents into four layers and identifies that risks can propagate across layers from inputs to ecosystem impacts.
Trojan’s whisper: Stealthy manipulation of openclaw through injected bootstrapped guidance
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study
The survey organizes security threats and defenses in autonomous LLM agents into four layers and identifies that risks can propagate across layers from inputs to ecosystem impacts.
- LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection