10000 Neural Network Application · Issue #11 · MarbleHE/SoK · GitHub
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Neural Network Application #11

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Open
4 of 15 tasks
AlexanderViand opened this issue Aug 4, 2020 · 0 comments
Open
4 of 15 tasks

Neural Network Application #11

AlexanderViand opened this issue Aug 4, 2020 · 0 comments
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AlexanderViand commented Aug 4, 2020 •
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To implement the NN-Inference application, the following needs to be done:

  • Train Plaintext version of LeNet-5 for MNIST using approximated activation functions
  • Train Plaintext version of SqueezeNet for CIFAR-10 using approximated activation functions
  • Add plotting code for application
  • Implement networks in SEALion
  • Implement networks in nGraph-HE (Depends on nGraph-HE build issues being solved, see nGraph-HE build not working #4)
  • Implement networks "manually optimized" in SEAL-CKKS-SIMD (recycle code from MSR Private AI Bootcamp Project)
  • Implement networks naively in SEAL-CKKS
  • Consider how to modify network for integer-only (SEAL-BFV/SEAL-BFV-SIMD, ALCHEMY, Ramparts)
  • Implement networks naively in SEAL-BFV
  • Implement networks "manually optimized" in SEAL-BFV-SIMD
  • Implement networks in ALCHEMY
  • Implement networks in Ramparts
  • Consider how to modify/quantize network for binary-only (Cingulata, TFHE)
  • Implement networks in Cingulata
  • Implement networks in TFHE
@AlexanderViand AlexanderViand self-assigned this Aug 4, 2020
AlexanderViand added a commit that referenced this issue Aug 4, 2020
@AlexanderViand
Add code to train plaintext MNIST model with approximate activation
59bb416 
WIP for NN Inference Task, see issue #11
@AlexanderViand AlexanderViand mentioned this issue Nov 24, 2020
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