This study is timely and exciting as it clearly points out some common issues hindering the design of ML models for computer security and how to overcome them. This witnesses once again that, despite the impressive performance reported in many of the published papers in this area, the reality is quite different, and applying ML in computer security is much more challenging than it may seem.

Machine learning in computer security is difficult to fix

Biggio, Battista
2024-01-01

Abstract

This study is timely and exciting as it clearly points out some common issues hindering the design of ML models for computer security and how to overcome them. This witnesses once again that, despite the impressive performance reported in many of the published papers in this area, the reality is quite different, and applying ML in computer security is much more challenging than it may seem.
2024
Computing methodologies; Machine learning; Security and privacy; Formal methods and theory of security; Systems security
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/426363
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