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Real-world documents expose the inadequacy of traditional prompt injection defenses, with PARSE achieving a significant reduction in attack success while preserving utility.
Paraphrasing content before processing slashes domain-camouflaged attack success rates by up to 84%, but effectiveness varies drastically by model and domain.
LLM safety filters are virtually blind to adversarial attacks that blend in with the target domain, dropping detection rates to near zero.