Pitfalls in Machine Learning for Computer Security

We identify ten pitfalls as don'ts of machine learning in security and propose dos as actionable recommendations to support researchers in avoiding the pitfalls where possible. Furthermore, we identify open problems that cannot be mitigated easily and require further research effort (§2).