Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

Published: Oct 14, 2019
Abstract
Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adversarial examples. In the past few years, many efforts have been spent on exploring query-optimisation attacks to find adversarial examples of either black-box or white-box DNN models, as well as the defending countermeasures against those attacks. In this work, we explore vulnerabilities of DNN models under the umbrella of Man-in-the-Middle (MitM) attacks, which has not been...
Paper Details
Title
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Published Date
Oct 14, 2019
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