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arXiv · 1805.12024

Privacy Aware Offloading of Deep Neural Networks

Sam Leroux·Tim Verbelen·Pieter Simoens·Bart Dhoedt
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Abstract

Deep neural networks require large amounts of resources which makes them hard to use on resource constrained devices such as Internet-of-things devices. Offloading the computations to the cloud can circumvent these constraints but introduces a privacy risk since the operator of the cloud is not necessarily trustworthy. We propose a technique that obfuscates the data before sending it to the remote computation node. The obfuscated data is unintelligible for a human eavesdropper but can still be classified with a high accuracy by a neural network trained on unobfuscated images.

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BibTeXRIS

Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt. 2018-05-30. Privacy Aware Offloading of Deep Neural Networks. https://arxiv.org/abs/1805.12024

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