Attacking machine learning with adversarial examples

【RSS 原文 · 未经 AI 筛选或翻译】Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them can be difficult.