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    Chapter and Conference Paper

    SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning Based on MKTFHE

    In recent years, distributed machine learning has garnered significant attention. However, privacy continues to be an unresolved issue within this field. Multi-key homomorphic encryption over torus (MKTFHE) is...

    Hongxiao Wang, Zoe L. Jiang, Yanmin Zhao, Siu-Ming Yiu in Mobile Internet Security (2024)

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    Chapter and Conference Paper

    A Secure and Self-tallying E-voting System Based on Blockchain

    E-voting has been studied for many years. Recently, researchers find that blockchain can provide an alternative secure platform for e-voting systems, because of its properties of tamper resistance and transpar...

    Gongxian Zeng, Meiqi He, Siu Ming Yiu in Information Security Applications (2020)

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    Chapter

    A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning

    Federated learning (FL) has great potential for coalescing isolated data islands. It enables privacy-preserving collaborative model training and addresses security and privacy concerns. Besides booming technol...

    Mingshu Cong, Han Yu, ** Weng, Siu Ming Yiu in Federated Learning (2020)

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    Chapter and Conference Paper

    LRCRYPT: Leakage-Resilient Cryptographic System (Design and Implementation)

    Due to the advancement of side-channel attacks, leakage-resilient cryptography has attracted a lot of attention in recent years. Many fruitful results have been proposed by researchers. Most, if not all, of th...

    **aoqi Yu, Nairen Cao, Gongxian Zeng, Ruoqing Zhang in Information Security Applications (2017)