Machine Learning, Cybersecurity, Cyberdéfense, Pitfalls, Mlsec.
susceptible to evasion attacks, where attackers manipulate inputs to achieve desired outputs. Figure 2 showcases how different performance metrics can mask the true effectiveness of a model against attacks. Another pitfall to be wary of is label shifting. This occurs when the relationship between