MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation

Eunjin Roh, Yigitcan Kaya, Christopher Kruegel +2

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-t…