Adversarial Sample Transferability in Machine Learning: Attacks

In this article, we will be exploring a paper titles “Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples” by Nicolas Papernot, Patric McDaniel and Ian Goodfellow. The paper talks about what adversarial machine learning is and what transferability attacks are. The authors have also presented experimental details on some popular classification systems and have demonstrated adversarial sample transferability. In the end, adversarial crafting technique...