Papers by Joshua H. Levy

1 papers
RAPIDS: Resume Attack Prompt Injection Detection at Scale (2026.acl-industry)

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Challenge: Existing generic prompt injection detectors lack domain specificity needed for nuanced resume attacks.
Approach: They propose a scalable detection framework that uses a synthetically generated dataset to address data scarcity in this domain.
Outcome: The proposed framework outperforms the best off-the-shelf detector by over 50% in relative F1 and approaches frontier LLM accuracy.

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