All-optical data class-specific image encryption using diffractive neural networks

Bijie Bai; Bijie Bai; Heming Wei; Xilin Yang; Xilin Yang; Tianyi Gan; Tianyi Gan; Deniz Mengu; Deniz Mengu; Mona Jarrahi; Mona Jarrahi; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan

doi:10.1364/FIO.2023.JM7A.131

Frontiers in Optics + Laser Science 2023 (FiO, LS)
Technical Digest Series (Optica Publishing Group, 2023),
paper JM7A.131
•https://doi.org/10.1364/FIO.2023.JM7A.131

All-optical data class-specific image encryption using diffractive neural networks

Bijie Bai, Heming Wei, Xilin Yang, Tianyi Gan, Deniz Mengu, Mona Jarrahi, and Aydogan Ozcan

Frontiers in Optics 2023

Tacoma, Washington United States
9–12 October 2023
ISBN: 978-1-957171-29-6

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B. Bai, H. Wei, X. Yang, T. Gan, D. Mengu, M. Jarrahi, and A. Ozcan, "All-optical data class-specific image encryption using diffractive neural networks," in Frontiers in Optics + Laser Science 2023 (FiO, LS), Technical Digest Series (Optica Publishing Group, 2023), paper JM7A.131.

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Abstract

We present an all-optical data-class-specific transformation framework that encrypts image data using separate transformations uniquely assigned to each data class. The presented method was experimentally tested under terahertz and near-infrared wavelengths.

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