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Marco Alecci

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Open access Oct 2026

Secrets Unlocked: Evaluating LLMs for Secrets Detection in Android Apps

Mobile apps frequently embed sensitive secrets, such as API keys, access tokens, client secrets, and private keys that support internal functionality or enable integration with external systems and third-party services. Developers frequently embed these secrets into Android apps, which allows attackers to extract them...

Marco Alecci, Jordan Samhi, Tegawendé F. Bissyandé et al. · 0 citations
#small language model Preprint Aug 2026

Towards LLM-Enhanced Android Taint Analysis

Whether off-the-shelf Large Language Models (LLMs) can effectively reason about taint flows in Android apps is investigated, and preliminary findings suggest that LLM reasoning may effectively complement traditional static taint analysis.

Nicholas Miazzo, Marco Alecci, Jordan Samhi et al. · 0 citations

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