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Machine Learning Evaluation of Im- balanced Health Data: A Comparative Analysis of Balanced Accuracy, MCC, and F1 Score

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cs.CR 1

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2026 1

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AVISE: Framework for Evaluating the Security of AI Systems

cs.CR · 2026-04-22 · unverdicted · novelty 6.0

AVISE provides a new framework and automated SET that identifies jailbreak vulnerabilities in language models with 92% accuracy, finding all nine tested models vulnerable to an augmented Red Queen attack.

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  • AVISE: Framework for Evaluating the Security of AI Systems cs.CR · 2026-04-22 · unverdicted · none · ref 56

    AVISE provides a new framework and automated SET that identifies jailbreak vulnerabilities in language models with 92% accuracy, finding all nine tested models vulnerable to an augmented Red Queen attack.