Mastering Machine Learning for Penetration Testing

Chapter 8 – Evading Intrusion Detection Systems with Adversarial Machine Learning

1. Can you briefly explain why overtraining a machine learning model is not a good idea?

By overtraining a machine learning model by training data too well, we train the model in a way that negatively impacts the performance of the model on new data. It is also referred to as overfitting.

2. What is the difference between overfitting and underfitting?

Overfitting refers to overtraining the model, while underfitting refers to a model that can neither model the training data nor generalize to new data.

3. What is the difference between an evasion and poisoning attack?

In an evasion adversarial attack, the attacker try many different samples to identify a learning ...