Safe adoption of machine learning in cybersecurity applications KU Leuven
Over the past few years, the number as well as the sophistication of security threats has been increasing. State-of-the-art security analytics solutions are therefore increasingly depending on machine learning methods to distinguish malicious from normal behavior in diverse contexts. However, with the use of machine learning for security applications on the rise, so are the attacks of cyber- criminals on these methods. Furthermore, there is ...