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Differential privacy algorithm
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
[NeurIPS 2019] Deep Leakage From Gradients
Useful tools for differential privacy
A Fine-grained Differentially Private Federated Learning against Leakage from Gradients
code for ICDCS2021 Gradient-Leakage Resilient Federated Learning
Implementation of dp-based federated learning framework using PyTorch
A foundational platform that primarily shares federated learning, differential privacy content
The code for "Improved Deep Leakage from Gradients" (iDLG).
Implementation of local differential privacy mechanisms in Python language.
My DP work
Pytorch实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Multiple Frequency Estimation Under Local Differential Privacy in Python
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
USENIX Security' 20
Xidian University TeX Suite 西安电子科技大学LaTeX套装
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