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News/Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation
arxiv
PublishedOctober 21, 2026 at 4:00 AM

Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation

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arXiv:2602.08062v2 Announce Type: replace Abstract: Large Language Models have demonstrated remarkable capabilities in natural language understanding. However, they remain susceptible to malicious prompts that induce unsafe or policy-violating behavior. Existing defenses in black-box moderation APIs

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