An adversarial attack is when machine learning is used to in some way undermine or break the actions of another AI system. For example, generating images that fool another image recognition system.
Used in Chap. 20: page 344
An adversarial attack is when machine learning is used to in some way undermine or break the actions of another AI system. For example, generating images that fool another image recognition system.
Used in Chap. 20: page 344