Attacks against machine learning — an overview
Elie
MAY 30, 2018
Adversarial inputs include malicious documents designed to evade antivirus, and emails attempting to evade spam filters. which involve feeding training adversarial data to the classifier. duplicate) models or recover training data membership via blackbox probing. covered the challenges related to training classifiers.
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