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Author

Antonino Nocera

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Open access Jun 2025

Enhancing android malware detection with retrieval-augmented generation

This work compiled a dataset of benign and malicious APKs and performed static analysis to extract features such as code structure, permissions, and manifest file content, without executing the apps, and used an LLM to generate high-level functional descriptions of APKs.

Saraga Sakthidharan, S. Anagha, Dincy R. Arikkat et al. · 2 citations
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...

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

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