Automated Malware Source Code Generation via Uncensored LLMs and Adversarial Evasion of Censored Model

Malicious programs, commonly called malware, have had a pervasive presence in the world for nearly forty years and have continued to evolve and multiply exponentially. On the other hand, there are multiple research works focused on malware detection with different strategies that seem to work only t...

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Bibliografiske detaljer

Principais autores:	Raúl Acosta-Bermejo, José Alexis Terrazas-Chavez, Eleazar Aguirre-Anaya
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-08-01
Serier:	Applied Sciences
Fag:	malware LLM red team
Online adgang:	https://www.mdpi.com/2076-3417/15/17/9252
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