A Formal Approach to Adversarial Machine Learning

Saeed Mahloujifar
With the ever increasing applications of machine learning algorithms many new challenges, beyond accuracy, have been raised. Among them, and one of the most important ones, is robustness against adversarial attacks. The persistent impact of these attacks on the security of otherwise successful machine learning algorithms begs a fundamental investigation. This dissertation aims at building a foundation to systematically investigate robustness of machine learning algorithms in the presence of different adversaries. Two special cases of...
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