Malimg
Emerging5papers using it
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2017first seen
The MalImg dataset contains grayscale images of malware binaries and is used to evaluate the performance of malware detection frameworks in few-shot learning scenarios.
Papers using Malimg (5)
- Comparative Analysis Of Imbalanced Malware Byteplot Image Classification Using Transfer LearningRetrieval-Augmented Few-Shot Malware Detection via Binary Visualization and Vision–Language EmbeddingsMalware detection using convolutional neural network-di strategy polar fox optimization algorithmEmerging Trends in Malware Detection: The Role of Generative AI in Cyber DefenseTowards Building An Intelligent Anti-malware System: A Deep Learning Approach Using Support Vector Machine (SVM) For Malware Classification