Daniele Ghiani
1 indexed paper
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126
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ML×1Crypto×1
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2026
Label-efficient Training Updates for Malware Detection over Time
The paper proposes a model-agnostic framework to evaluate combining Active Learning (AL) and Semi-Supervised Learning (SSL) techniques for malware detection, demonstrating that these combined methods can reduce manual labeling costs by up to 90% while maintaining high detection performance.
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Papers
cs.LGcs.CRRecentMar 30, 2026
Label-efficient Training Updates for Malware Detection over Time
Luca Minnei, Cristian Manca, Giorgio Piras, Angelo Sotgiu +5 more
The paper proposes a model-agnostic framework to evaluate combining Active Learning (AL) and Semi-Supervised Learning (SSL) techniques for malware detection, demonstrating that these combined methods…
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