zhaoweixin

zhaoweixin's Stars

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python16.1k1452.3k2.5k

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k1983.4k2k

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  4.4k2711400

• google/differential-privacy

  Google's differential privacy libraries.

  Language:C++3.1k11679368

• exercism/python

  Exercism exercises in Python.

  Language:Python2k1231.1k1.3k

• tensorflow/privacy

  Library for training machine learning models with privacy for training data

  Language:Python1.9k59184452

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.8k46313359

• ytzfhqs/AAAMLP-CN

  Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

  Language:Jupyter Notebook1.6k178215

• IBM/differential-privacy-library

  Diffprivlib: The IBM Differential Privacy Library

  Language:Python8463343204

• google-research/federated

  A collection of Google research projects related to Federated Learning and Federated Analytics.

  Language:Python7042647198

• stratosphereips/awesome-ml-privacy-attacks

  An awesome list of papers on privacy attacks against machine learning

  58523289

• OpenMined/PyDP

  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

  Language:Python50719158138

• BradyFU/Video-MME

  ✨✨Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

  46453519

• yaoyz96/elsarticle

  Elsevier template 'elsarticle'.

  Language:TeX1423122

• LilLouis5/Vision-Transformer

  这里包含了Vit的代码以及数据集部分。

  Language:Python115165

• erwanlemerrer/awesome-audit-algorithms

  A curated list of algorithms and papers for auditing black-box algorithms.

  991519

• google-deepmind/jax_privacy

  Algorithms for Privacy-Preserving Machine Learning in JAX

  Language:Python9291612

• jagielski/manip-ml

  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'

  Language:Python531223

• jagielski/auditing-dpsgd

  Code for Auditing DPSGD

  Language:Python38326

• microsoft/responsible-ai-toolbox-privacy

  A library for statistically estimating the privacy of ML pipelines from membership inference attacks

  Language:Python34917

• eth-sri/dp-sniper

  A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.

  Language:Python24605

• taiyuuki/vscode-nes

  VS Code插件 —— 红白机模拟器

  Language:JavaScript23192

• xerial/dp-readings

  Readings in Differential Privacy

  15301

• mary-python/shuffle

  Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages

  Language:Python8201

• eth-sri/Delta-Siege

  Language:Python6501

• Apress/machine-learning-for-auditors

  Source code for 'Machine Learning for Auditors' by Maris Sekar

  Language:Jupyter Notebook52

• spalabucr/bb-audit-dpsgd

  Source code for black-box auditing DP-SGD

  Language:Python3

• ubc-systopia/panoramia-privacy-measurement

  Language:Python22

• verbytsky/PrivacyPreservingDataProcessing

  rivacy-preserving data processing techniques using diffprivlib

  Language:Python1

• zqh-ynu/PD-based-data

  Data for "A Primal-Dual Based Power Control Approach for Capacitated Edge Servers"

  1101