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News/Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries Reveal
arxiv
PublishedOctober 13, 2026 at 4:00 AM

Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries Reveal

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arXiv:2505.15738v3 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in user-facing products that handle sensitive personal data while interacting with untrusted external content. This makes them a prime target for prompt injection attacks, in which an adversary

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