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Fabrício Ceschin

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

Adversarial Malware in Machine Learning Detectors: Our MLSEC 2020’s SECRETs

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…

By Fabrício Ceschin and Marcus Botacin, 7 months6 months ago
machine learning

And the Competition Winner is… Everyone!

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…

By Fabrício Ceschin, 10 months7 months ago
machine learning

Sharing Machine Learning Secrets

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…

By Fabrício Ceschin, 10 months7 months ago
Recent Posts
  • From CobaltStrike detection ideas to SECRET papers
  • Thoughts on Solarwinds’ samples
  • A Ransomware has landed! @Embraer
  • Brazilian Justice Court Ransomware: Another piece in the Puzzle
  • A Ransomware in a Brazilian Justice Court
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