• Corpus ID: 235266086

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

@inproceedings{Lou2021HEMETAH,
  title={HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture},
  author={Qian Lou and Lei Jiang},
  booktitle={International Conference on Machine Learning},
  year={2021}
}
  • Qian LouLei Jiang
  • Published in
    International Conference on…
    31 May 2021
  • Computer Science
Recently Homomorphic Encryption (HE) is used to implement Privacy-Preserving Neural Networks (PPNNs) that perform inferences directly on encrypted data without decryption. Prior PPNNs adopt mobile network architectures such as SqueezeNet for smaller computing overhead, but we find naïvely using mobile network architectures for a PPNN does not necessarily achieve shorter inference latency. Despite having less parameters, a mobile network architecture typically introduces more layers and… 

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