McNdroid is a new longitudinal multimodal benchmark showing that Android malware detectors degrade over time but multimodal approaches maintain better performance across long temporal gaps.
MADAR: Efficient continual learning for malware analysis with distribution-aware replay
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FreeMOCA enables memory-free continual learning for malicious code analysis via adaptive layer-wise interpolation between warm-started task optima, outperforming baselines on EMBER and AZ benchmarks with up to 42% accuracy gains.
citing papers explorer
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McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware
McNdroid is a new longitudinal multimodal benchmark showing that Android malware detectors degrade over time but multimodal approaches maintain better performance across long temporal gaps.
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FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis
FreeMOCA enables memory-free continual learning for malicious code analysis via adaptive layer-wise interpolation between warm-started task optima, outperforming baselines on EMBER and AZ benchmarks with up to 42% accuracy gains.