Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection

no code implementations • 5 Apr 2024 • João Vitorino, Miguel Silva, Eva Maia, Isabel Praça

Two different feature sets were selected and were used to train multiple ML models with regular and adversarial training.

Computational Efficiency Cyber Attack Detection +1

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection

no code implementations • 25 Feb 2024 • João Vitorino, Miguel Silva, Eva Maia, Isabel Praça

As cyber-attacks become more sophisticated, improving the robustness of Machine Learning (ML) models must be a priority for enterprises of all sizes.

Adversarial Robustness Cyber Attack Detection +1