Attacking Machine Learning with Adversarial Examples

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 differen… Read more

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What is Machine Learning?

Learning, like intelligence, covers such a broad range of processes that it is difficult to define precisely. According to Wikipedia, Learning is the act of acquiring new or modifying and reinforcing existing knowledge, behaviors, skills, values, or prefe... (more…)

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