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Marco Arazzi

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Conference Open access 2026

SecureBreak: A Dataset towards Safe and Secure Models

SecureBreak is introduced, a safety-oriented dataset designed to support the development of AI-driven solutions for detecting harmful LLM outputs caused by residual weaknesses in security alignment and is valuable not only for constructing post-generation filtering modules that act as a last-line defense, but also for building additional supervisory intelligence for alignment optimization.

Marco Arazzi, Vignesh Kumar Kembu, Antonino Nocera · 0 citations