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Measuring Duplication, Leakage, and Rendering Dependence in Malware-as-Image Benchmarks
Classifying malware binaries rendered as images is a popular approach to malware family identification, and papers on the standard benchmarks for this task report accuracies of 97-99%. In this paper we audit ten of these benchmarks for near-duplicate images and test-train leakage, and retrain standa
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