Web: http://arxiv.org/abs/2206.07840

June 17, 2022, 1:10 a.m. | Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot

cs.LG updates on arXiv.org arxiv.org

Machine learning is vulnerable to adversarial manipulation. Previous
literature has demonstrated that at the training stage attackers can manipulate
data and data sampling procedures to control model behaviour. A common attack
goal is to plant backdoors i.e. force the victim model to learn to recognise a
trigger known only by the adversary. In this paper, we introduce a new class of
backdoor attacks that hide inside model architectures i.e. in the inductive
bias of the functions used to train. These …

arxiv lg networks neural neural networks

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