Xiang‐Yang Li
7 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Crowdlearning: Crowded Deep Learning with Data Privacy
2018
Deep Learning has shown promising performance in a variety of pattern recognition tasks owning to large quantities of training data and complex structures of neural networks. However conventional deep neural network (DNN) training involves centrally …
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Can China lead the development of data trading and sharing markets?
2018 · Communications of the ACM
No abstract available.
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SCsec: A Secure Near Field Communication System via Screen Camera Communication
2019 · IEEE Transactions on Mobile Computing
With the increasing popularity of short range communication services, such as contact less payment and electronic toll collection, screen camera communication and near field communication (NFC) have received considerable attention from both industry and academia. …
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ID-Based Hybrid Network Architecture for the AIoT
2021
Recently, the frequent occurrence of security issues in the Internet of Things (IoT) systems has become serious concerns. In this article, we propose an identifier-based IoT security architecture IIAS that is well suited for resource-constrained …
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Scape: Scalable Collaborative Analytics System on Private Database with Malicious Security
2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)
Many data applications can be facilitated or even spawned by joint analysis on databases held by different owners, but privacy concerns are currently the biggest hindrance. Though a practical privacy-preserving collaborative database analytics system is …
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QCIR
2022
Due to multiple limitations of quantum computers in the NISQ era, quantum compilation efforts are required to efficiently execute quantum algorithms on NISQ devices Program rewriting based on pattern matching can improve the generalization ability …
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TrafficDiary: User Attribute Inference Based on Smart Home Traffic Traces
2025 · ACM Transactions on Internet Technology
Smart home technology has found wide-ranging applications in daily life, from enhancing energy efficiency to simplifying daily tasks and providing greater convenience. However, recent works have found that smart home devices are vulnerable to passive …