Malicious Repository Detection Using Transformer-Based Models: A Metadata-Driven Approach
A metadata-driven detection framework that fine-tunes DistilBERT on repository metadata text, specifically the description, README, and topics, and formulates detection as a binary classification task between malware and benign repositories, suggesting that the framework is promising for threshold-based screening scena...