
The authors introduce Neural Exec as a new family of prompt injection attacks, demonstrating the effectiveness of autonomously generated execution triggers. By using optimization-driven methods, they show significant improvements over handcrafted triggers in evading detection and executing malicious payloads.


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neural-exec-learning-execution-triggers-for-prompt-injection-attacks


Neural Exec: Learning Execution Triggers for Prompt Injection Attacks


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Large Language Models (LLMs) can be tricked into bypassing their safety mechanisms and generating harmful content through a novel attack method called Feign Agent Attack (F2A), which exploits LLMs' blind trust in security detection agents.


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Feign Agent Attack (F2A): Exploiting Blind Trust in Security Detection Agents to Enable Prompt Injection in Large Language Models
