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Ye-D/README.md

Hi there 👋

  • 🔭 I’m currently working on Privacy-Preserving Machine Learning (PPML);
  • 🌱 I’m currently learning Secure Multi-Party Computation (MPC), Homomorphic Encryption (HE), and Zero-Knowledge Proof (ZKP);
  • 👯 I’m looking to collaborate on PPML;
  • 🤔 I’m looking for help with MPC and HE;

Ye-D's github stats

Pinned

  1. AntCPLab/puma_benchmarks AntCPLab/puma_benchmarks Public

    Python 6

  2. Meteor Meteor Public

    Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs

    C++ 9 5

  3. CryptoFL CryptoFL Public

    Cryptographically Secure Aggregation for Federated Learning

    Python 10 1

  4. PPML-Resource PPML-Resource Public

    Materials about Privacy-Preserving Machine Learning

    217 51

  5. PaperNotes-MPC PaperNotes-MPC Public

    Paper Notes in MPC with Applications to PPML

    63 6