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Continuous Detection, Continuous Response: Mate Security Redefines the Modern SOC
New York, USA, 18th May 2026, CyberNewswire...
MADCAT: Combating Malware Detection under Concept Drift with Test-Time Adaptation
We present MADCAT, a self-supervised approach designed to address the concept drift problem in malware detection. MADCAT employs an encoder-decoder architecture and works by test-time training of the encoder on a small, balanced subset of the test-time data using a self-supervised objective. Duri...