Feb. 28, 2024, 5:11 a.m. | Peter Horvath, Lukasz Chmielewski, Leo Weissbart, Lejla Batina, Yuval Yarom

cs.CR updates on arXiv.org arxiv.org

arXiv:2312.07783v2 Announce Type: replace
Abstract: Over the last decade, applications of neural networks (NNs) have spread to various aspects of our lives. A large number of companies base their businesses on building products that use neural networks for tasks such as face recognition, machine translation, and self-driving cars. Much of the intellectual property underpinning these products is encoded in the exact parameters of the neural networks. Consequently, protecting these is of utmost priority to businesses. At the same time, many …

applications arxiv barracuda base building businesses cars companies cs.cr driving face recognition gpus intellectual property large leak machine networks neural networks products property recognition self-driving self-driving cars translation

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