AI & ML
Attacking machine learning with adversarial examples
OpenAI Blog0 views
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.
Source：https://openai.com/index/attacking-machine-learning-with-adversarial-examplesRelated posts
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