Contrastive

CrowdStrike research shows that contrastive learning improves supervised machine learning results for PE (Portable Executable) malwareApplying self-supervised learning to PE files enhances the effectiveness of machine learning in cybersecurity, which is crucial to address the evolving threat landscapeCrowdStrike researchers engineered a novel loss function to optimize … [Read more...] about Researchers Explore Contrastive Learning for Malware Detection