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The repository provides an implementation and evalution for the published paper: Jiasi Weng, Jian Weng, Gui Tang, Anjia Yang, Ming Li, and Jia-Nan Liu. "pvcnn: Privacy-preserving and verifiable convolutional neural network testing." IEEE Transactions on Information Forensics and Security 18 (2023): 2218-2233.

Requirements

  • libsnark environment: can refer to libsnark to install
  • SEAL
  • basic cpp runtime environment

Run

  • all executable file in bin
  • In order to compiler
    1. cmake -B build
    2. cmake --build build
  • or mkdir build && cd build && cmake .. && make

FHE based opensource project:

Statement

  • Project Name: pvCNN
  • Authors: Gui Tang, Jiasi Weng
  • Affiliation: College of Cyber Security, Jinan University

About

该项目实现了隐私保护和可验证的卷积神经网络(CNN)测试,旨在使模型开发者能够在多个测试者提供的非公开数据上向用户证明CNN性能的真实性,同时保护模型和数据的隐私。

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