Defending Support Vector Machines against Poisoning Attacks: the Hardness and Algorithm

14 Jun 2020Hu DingFan YangJiawei Huang

Adversarial machine learning has attracted a great amount of attention in recent years. In a poisoning attack, the adversary can inject a small number of specially crafted samples into the training data which make the decision boundary severely deviate and cause unexpected misclassification... (read more)

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