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  • šŸ‘‹ Hi, Iā€™m @jason-jiankai
  • šŸ‘€ Iā€™m interested in coding, history, video games
  • šŸŒ± Iā€™m a PhD student from FEIT of Unimelb
  • šŸ“« I study privacy and robustness of machine learning models.

jason-jiankai's Projects

constellation icon constellation

Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.

dp-agd icon dp-agd

Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget

flagai icon flagai

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

ggml icon ggml

Tensor library for machine learning

jax_privacy icon jax_privacy

Algorithms for Privacy-Preserving Machine Learning in JAX

modern-cpp-tutorial icon modern-cpp-tutorial

šŸ“š Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

opacus icon opacus

Training PyTorch models with differential privacy

pfl-research icon pfl-research

Simulation framework for accelerating research in Private Federated Learning

privacy icon privacy

Library for training machine learning models with privacy for training data

pysyft icon pysyft

Data science on data without acquiring a copy

smartnoise-sdk icon smartnoise-sdk

Tools and service for differentially private processing of tabular and relational data

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