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DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption

  • Published:2021 Issue: Volume:16 Page:3740-3752
  • ISSN:1556-6013
  • Container-title:IEEE Transactions on Information Forensics and Security
  • language:
  • Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Meftah SouhailORCID,Tan Benjamin Hong MengORCID,Mun Chan FookORCID,Aung Khin Mi MiORCID,Veeravalli Bharadwaj,Chandrasekhar Vijay

Funder

Agency of Science, Technology and Research (A*STAR) through the RIE2020 Advanced Manufacturing and Engineering (AME) Programmatic Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

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3. Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

4. Biometric template attacks and recent protection mechanisms: A survey;Information Fusion;2024-03

5. Secure speech retrieval method using deep hashing and CKKS fully homomorphic encryption;Multimedia Tools and Applications;2024-01-25
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