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#artificial intelligence Preprint Oct 2026

MARS: Malware Analysis with Rule-Based Scoring of LLM Claims

Large language models can triage malware through direct verdicts or behavioral claims scored by an external policy. We present MARS, a malware triage framework, and compare direct classification with single-pass claim scoring using the same evidence collector and identical static evidence bundles for each model. The ev...

H. Choi · 0 citations
#machine learning Preprint Sep 2026

ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers

ALIBI is presented, a semantic cover story attack against frontier LLM-based malware analyzers that adds a small, non-executed read-only section to a compiled binary, containing a coherent but false security product narrative, without altering imports or executable behavior.

H. Choi, Wonyoung Jung, Haehoon Seo et al. · 0 citations

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