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InfoResearchPeer-reviewed
Regression-Aware Continual Learning for Android Malware Detection
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Summary
This research paper examines security regression in continual learning (CL) malware detectors, where malware detected before a model update evades detection afterward. The authors find that up to 3-6% of malware experiences this regression after updates. They introduce a regression-aware framework, instantiated as Positive Congruent Training (PCT), which halves regression on the ELSA, Tesseract, and AZ-Class datasets while preserving detection performance.