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Machine Learning (In) Security: A Stream of Problems
[article]
2020
arXiv
pre-print
Machine Learning (ML) has been widely applied to cybersecurity, and is currently considered state-of-the-art for solving many of the field's open issues. However, it is very difficult to evaluate how good the produced solutions are, since the challenges faced in security may not appear in other areas (at least not in the same way). One of these challenges is the concept drift, that actually creates an arms race between attackers and defenders, given that any attacker may create novel, different
arXiv:2010.16045v1
fatcat:edph3d2f7zat3jl4bjyvawbvty