Adversarial Reprogramming of Neural Networks

Gamaleldin F. Elsayed
Gamaleldin F. Elsayed

international conference on learning representations, 2019.

Cited by: 26|Bibtex|Views156
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep neural networks are susceptible to emph{adversarial} attacks. In computer vision, well-crafted perturbations to images can cause neural networks to make mistakes such as confusing a cat with a computer. Previous adversarial attacks have been designed to degrade performance of models or cause machine learning models to produce specifi...More

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