Machine Learning Algorithms: Adversarial Robust... -

Attackers exploit the optimization process used to train models, finding "blind spots" in the decision boundary. Chapter 1 - Introduction to adversarial robustness

As AI moves from research labs into safety-critical domains like autonomous driving , healthcare , and financial systems , vulnerabilities become physical risks. Machine Learning Algorithms: Adversarial Robust...

Robustness ensures a model's behavior remains predictable and consistent even under stress. Attackers exploit the optimization process used to train

Attacks can cause self-driving cars to misidentify stop signs or bypass security filters in large language models. and financial systems