Last year we were breaking machine learning models for malware detection. We were able to bypass all the models of the competition, finishing in the second position — unfortunately, it was not enough to win an NVIDIA graphic card, but it was worth it anyway, after all, the competition winner is everyone! Our findings resulted in an academic white paper, published at Reversing and Offensive-Oriented Trends Symposium 2019 (ROOTS). This very same paper was cited as one of the motivations for a Microsoft-supported competition on the evasion of machine learning models for malware detection.

Our work being cited by the competition.

Our work being cited by the competition.

In our opinion, these are things that worth more than an academic citation or any price. We acknowledge that this kind of competition is very important to support future high-quality cybersecurity solutions using machine learning. Finally, we want to thank the competition organizers and all their partners for the opportunity, for the citation, and to keep developing new competitions that benefit the whole community. And now, let the competition begin!


Fabrício Ceschin

B.Sc., CS @UFPR, 2016 MSc, CS @UFPR, 2018