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Conferences > CLEO_QELS > 2018 > FM1G > FM1G.4

Investigation of Deep Learning Attacks on Nonlinear Silicon Photonic PUFs

Iskandar Atakhodjaev, Bryan T. Bosworth, Brian C. Grubel, Michael R. Kossey, Jesús Villalba, A. Brinton Cooper, Najim Dehak, Amy C. Foster, and Mark A. Foster

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Abstract

We demonstrate that nonlinear silicon photonic Physical Unclonable Functions (PUFs) are resistant to adversarial deep learning attacks. We find that this resistance is rooted in the optical nonlinearity of the silicon photonic PUF token.

© 2018 The Author(s)

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