AutoAttack has become the de facto standard for adversarial robustness evaluation because it solves real problems in a practical way. By combining diverse attack strategies with automatic parameter tuning, it provides a…
Category: Adversarial Examples
Introduction To Adversarial Attacks: Typology And Definitions
Adversarial Examples exploit vulnerabilities in machine learning systems by leveraging the gap between a model’s learned representations and the true distribution of the data. But, it is the adversarial attack that discovers…
Adversarial Examples In Model Extraction
While primarily known for their use in evasion attacks (causing misclassification), adversarial examples can also aid in model extraction by systematically exploring decision boundaries. By generating samples that lie close to these…