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Semantic Adversarial Deep Learning

Published Web Location

https://doi.org/10.1109/mdat.2020.2968274
Abstract

Adversarial examples have emerged as a key threat for machine-learning-based systems, especially the ones that employ deep neural networks. Unlike a large body of research in this area, this Keynote article accounts for the semantic, context, and specifications of the complete system with machine learning components in resource-constrained environments. - Muhammad Shafique, Technische Universität Wien.

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