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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on Privacy-Preserving Machine Learning (PPML);
  • šŸŒ± Iā€™m currently learning Secure Multi-Party Computation (MPC), Homomorphic Encryption (HE), and Zero-Knowledge Proof (ZKP);
  • šŸ‘Æ Iā€™m looking for any discussion about PPML;

Ye-D's github stats

Y.Dong's Projects

aby icon aby

ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation

aby3 icon aby3

A Three Party MPC framework for Machine learning and Databases

awesome-he icon awesome-he

āœØ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources

crypten icon crypten

A framework for Privacy Preserving Machine Learning

cryptofl icon cryptofl

Cryptographically Secure Aggregation for Federated Learning

emp-ot icon emp-ot

Oblivious Transfer, Oblivious Transfer Extension and Variations

meteor icon meteor

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

mp-spdz icon mp-spdz

Versatile framework for multi-party computation

ns-2 icon ns-2

the ns-2 simu. exercise

piranha icon piranha

Piranha: A GPU Platform for Secure Computation

pydhe icon pydhe

A reference implementation of Diffie-Hellman in Python

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