Hardening Random Forest Cyber Detectors Against Adversarial Attacks

no code implementations • 9 Dec 2019 • Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti

The experimental results on millions of labelled network flows show that the new detector has a twofold value: it outperforms state-of-the-art detectors that are subject to adversarial attacks; it exhibits robust results both in adversarial and non-adversarial scenarios.

BIG-bench Machine Learning Intrusion Detection