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Jailbreak detectors need low false-positive tests, not AUROC alone

Original title: Beyond AUROC: Deployment-Aware Evaluation of Model-Internal Jailbreak Detectors

arXiv cs.CRby Mohammad Tehabsim ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Thresholds set on curated benign prompts often failed to hold false-positive budgets on real-user traffic.

The paper evaluates model-internal jailbreak detectors at low false-positive operating points rather than by AUROC alone. Across four detectors, four LLMs, and twelve jailbreak families, calibration on curated benign prompts often failed to preserve false-positive budgets on real-user traffic. Recalibration improved control but exposed family-level coverage gaps, including high AUROC with low true-positive rate. Changing reference-set composition shifted which attack families were detected.

Key facts
  • Improving coverage of one attack family can reduce coverage of others.
  • Authors treat calibration and reference data as part of detector security behavior.
  • They recommend per-family true-positive rate at explicit low false-positive points.
  • AUROC is recommended only as a complementary ranking metric.
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From the original article

1 min read at arxiv.org

Large language models (LLMs) are increasingly deployed in user-facing systems, where jailbreak attacks can bypass safety controls and induce harmful and policy-violating outputs.

arXiv cs.CR

By Mohammad Tehabsim · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.