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Agentic Botnets Enable Scalable Promptware Attacks on LLM Applications
Agentic large language model (LLM) applications face new security risks from promptware attacks, where adversaries exploit indirect channels to inject malicious prompts. This research highlights the potential for scalable, untargeted attacks via universal and transferable adversarial techniques des...
As LLM applications become more widespread, understanding and mitigating promptware threats is critical to maintaining their security and trustworthiness. The findings reveal vulnerabilities that could be exploited at scale, emphasizing the need for robust defenses beyond direct input channels.
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Score 74
Source Type arxiv
Reposts 0
Topic Quality 55
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