Privacy-preserving machine learning with fully homomorphic encryption for deep neural network

HIGHLIGHTS

• who: JOON-WOO LEE and collaborators from the of Electrical Computer Engineering, INMC, Seoul National University, Seoul, Republic of Korea have published the paper: Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network, in the Journal: (JOURNAL)
• what: The authors first implement the standard ResNet-20 model with the RNS-CKKS FHE with bootstrapping verify the implemented model with the CIFAR-10 dataset plaintext model parameters. A. the CONTRIBUTION For the first time, the authors implement the ResNet-20 model for the CIFAR-10 dataset using the residue number system CKKS (RNS . . .
  

   

  

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