Another year, another edition of the Machine Learning Security Evasion Competition (MLSEC) took place! If you don’t know what we are talking about, it is a competition promoted by some well-known Internet companies (CUJO AI, Microsoft, MRG Effitas, VMRay, and Nvidia) in which one has (i) to develop machine learning-based Read more…
If you read any of the SECRET papers, it is not a SECRET for you that using Machine Learning (ML) to detect malware is a challenging endeavor. In one of these papers, we presented the results of our participation in a machine learning-based malware detection evasion challenge dating back 2019. Read more…
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 Read more…
We are happy to share with you our newest machine learning secret! Scikit-multiflow 0.5 is now available, including our open-source contribution: delayed labels evaluation for supervised learning. We expect that the community makes great use of this new feature, which is very important for cybersecurity solutions. Check out the new Read more…