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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...
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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...
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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...
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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...