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Found 4 papers, 2 papers with code
SAFE: Self-Attentive Function Embeddings for Binary Similarity
We report the results from a quantitative and qualitative analysis that show how SAFE provides a noticeable performance improvement with respect to previous solutions.
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks
Furthermore, we report on a qualitative analysis of functions embeddings.
Survey of Machine Learning Techniques for Malware Analysis
Coping with malware is getting more and more challenging, given their relentless growth in complexity and volume.
Cryptography and Security
Android Malware Family Classification Based on Resource Consumption over Time
An important task of malware analysis is the classification of malware samples into known families.
Cryptography and Security
