Tutorial

Warning

The following codes are demos only. It’s NOT for production due to system security concerns, please DO NOT use it directly in production.

We hope you enjoy these toturials from SecretFlow developers.

IO

• Loading CSV data in SecretFlow
• Load Numpy data in SecretFlow
• Using Custom DataBuilder in SecretFlow (TensorFlow)
• Using Custom DataBuilder in SecretFlow (Torch)
• Customize DataBuilder on SLModel in SecretFlow

DataFrame

• Data Preprocessing with DataFrame

WOE

• Weight Of Evidence encoding

SPU

• SPU Basics
• Logistic Regression with SPU
• Neural Network with SPU
• GPT-2 private inference with SPU
• Privacy-Preserving Scientific Computing with NumPy in SPU
• GPT-2 Secure inference with Puma

TEEU

• TEEU Getting Started Guide
• TEEU Example: XGBoost

PSI

• PSI On SPU

Federated Learning

• Federated Learning for Image Classification
• Federated Learning with Pytorch Backend
• Horizontally Federated XGBoost
• Vertically Federated XGB (SecureBoost)
• Split Learning—Bank Marketing
• Split Learning for Graph Neural Network
• Mix Federated Learning - Logistic Regression
• 基于 PyTorch 的预训练模型在隐语联邦学习环境下的微调
• 基于 Keras Applications 的预训练模型在隐语联邦学习环境下的微调
• SplitREC: Using DeepFM Algorithm in SecretFlow
• SplitRec：在隐语中使用拆分 BST 算法（Tensorflow 后端）
• SplitRec：在隐语中使用拆分 BST 算法（Torch 后端）
• SplitRec：在隐语中使用拆分 MMoe 算法（Tensorflow 后端）
• SplitRec：在隐语拆分学习中使用通信压缩
• SplitRec：在隐语拆分学习中使用流水线并行
• SplitRec：在隐语拆分学习中使用 FeatureInferenceAttack
• SplitRec：在隐语拆分学习中使用 LabelInferenceAttack

场景方案

• 隐语SecretFlow金融风控全链路能力展示

培训资料

• 隐语SecretFlow实际场景MPC算法开发实践

Miscellaneous

• GPU check