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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Malware Classification On Malimg Dataset

평가 지표

Accuracy (10-fold)
Macro F1 (10-fold)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Accuracy (10-fold)
Macro F1 (10-fold)
Paper TitleRepository
Gray-scale IMG CNN0.98480.9580Using Convolutional Neural Networks for Classification of Malware represented as Images
GA Designed Deep CNN--Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification-
GRU + SVM--Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification-
CNN + SVM--Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification-
FFNN + SVM--Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification-
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Malware Classification On Malimg Dataset | SOTA | HyperAI초신경