Stealing Malware Classification Models for Antivirus Evasion
Model stealing attacks have been successfully demonstrated in several domains. However, in the area of malware detection, there is no comparison of surrogate creation strategies, …
Forget me not: Malware Classification as a Continual Learning Problem
It is well known in the machine learning community that the performance of models degrades over time with the introduction of new data, getting worse in solving both new and old …
Virus Bulletin 2019
Reports on cyber espionage operations have been on the rise in the last decade. However, operations in Latin America are heavily under researched and potentially underestimated. In …
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Arming Malware with GANs
Generative Adversarial Networks (GANs) are a recent invention that shows impressive results in generating completely new images of faces, building interiors and much more. In this …