Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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0111 · Dec 201719922001200920182026
1 result for “DEEPMALWARE”
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detectioncs.CR

PROPEDEUTICA detects malware efficiently in real-time with low overhead.

problem Real-time malware detection on safety-critical devices with performance constraints.
method PROPEDEUTICA uses a hybrid approach combining conventional ML and DL, with a novel DL architecture DEEPMALWARE.
result PROPEDEUTICA achieves high accuracy (94.34%) and low false-positive rate (8.75%) with minimal performance impact.
malware detectionreal-timehybrid ML/DLDEEPMALWAREperformance efficiency
2017-12-04abs ↗pdf ↗