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    A provably secure code-based concurrent signature scheme

    , Article IET Information Security ; Volume 12, Issue 1 , 2018 ; 17518709 (ISSN) Rajabzadeh Asaar, M ; Ameri, M. H ; Salmasizadeh, M ; Aref, M. R ; Sharif University of Technology
    Institution of Engineering and Technology  2018
    Abstract
    Concurrent signatures allow two entities to generate two signatures in such a way that both signatures are ambiguous till some information is revealed by one of the parties. This kind of signature is useful in auction protocols and in a wide range of scenarios in which involving participants are mutually distrustful. In this study, to have quantum-attack-resistant concurrent signatures as recommended by National Institute of Standards and Technology (NISTIR 8105), the first concurrent signature scheme based on coding theory is proposed. Then, its security is proved under Goppa Parameterized Bounded Decoding and the Goppa Code Distinguishing assumptions in the random oracle model. In... 

    Integrated photonic neural network based on silicon metalines

    , Article Optics Express ; Volume 28, Issue 24 , 2020 , Pages 36668-36684 Zarei, S ; Marzban, M. R ; Khavasi, A ; Sharif University of Technology
    OSA - The Optical Society  2020
    Abstract
    An integrated photonic neural network is proposed based on on-chip cascaded one-dimensional (1D) metasurfaces. High-contrast transmitarray metasurfaces, termed as metalines in this paper, are defined sequentially in the silicon-on-insulator substrate with a distance much larger than the operation wavelength. Matrix-vector multiplications can be accomplished in parallel and with low energy consumption due to intrinsic parallelism and low-loss of silicon metalines. The proposed on-chip whole-passive fully-optical meta-neural-network is very compact and works at the speed of light, with very low energy consumption. Various complex functions that are performed by digital neural networks can be...