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Hey, hey, hey ๐Ÿ‘‹

  • ๐Ÿ’ฌ I will join DSP Lab @UC Irvine as a postdoctoral researcher. See you in California~
  • ๐Ÿ’ฌ I am interested in data privacy, mathematics, algorithms, reading, and sports.
  • ๐Ÿ˜„ I am happy to contribute to open-source libraries for helping the community.
  • ๐Ÿ”ญ I am curious about new knowledge (Ambiguous in INTP-A/INTJ-A๐Ÿ’ฌ).
  • ๐Ÿ˜„ If you are interested in my research, welcome to contact me ~

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yuzhengcuhk

Yu Zheng's Projects

aby3 icon aby3

A Three Party MPC framework for Machine learning and Databases

autodp icon autodp

autodp: A flexible and easy-to-use package for differential privacy

awesome-mpc icon awesome-mpc

A curated list of multi party computation resources and links.

ccf-deadlines icon ccf-deadlines

โฐ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cosera icon cosera

A study of Cosine Similarity based Edge Reconstruction Attack against edge privacy

crypten icon crypten

A framework for Privacy Preserving Machine Learning

cryptofed-adma-public icon cryptofed-adma-public

[ADMA'23] Cryptography-Inspired Federated Learning Variants for GAN and Meta Learning (Regular/Oral)

cuda-quantum icon cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cudasteps icon cudasteps

ๅŸบไบŽใ€Šcuda็ผ–็จ‹-ๅŸบ็ก€ไธŽๅฎž่ทตใ€‹๏ผˆๆจŠๅ“ฒๅ‹‡ ่‘—๏ผ‰็š„cudaๅญฆไน ไน‹่ทฏใ€‚

datalens icon datalens

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

developer-books icon developer-books

็ผ–็จ‹ๅผ€ๅ‘็›ธๅ…ณไนฆ็ฑๆ•ด็†ๅˆ†ไบซ๏ผŒๆŒ็ปญๆ›ดๆ–ฐ...

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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