This PR is for the release of version 0.1 of our privacy meter software! 🎉
This update includes the following improvements:
✨ New features:
Example code for running the privacy meter with different games 🎮
Ways to save all models during each run 📂
Speed up the training of the models on PyTorch 🚀
Seed up the efficiency of the privacy meter 🕰️
Time logging for each run ⏱️
Configuration Yaml file for easy setup 📄
White-box tutorial based on the gradient norm information 📝
Gradient and gradient norm signals added to the PyTorch model 🔢
Unit test added 🧪
End-to-end test for reproducing the results on the CIFAR10 dataset 📊
Guidelines for potential contributors 🤝
Slack channel set up for better communications 💬
This PR is for the release of version 0.1 of our privacy meter software! 🎉
This update includes the following improvements:
✨ New features:
Example code for running the privacy meter with different games 🎮 Ways to save all models during each run 📂 Speed up the training of the models on PyTorch 🚀 Seed up the efficiency of the privacy meter 🕰️ Time logging for each run ⏱️ Configuration Yaml file for easy setup 📄 White-box tutorial based on the gradient norm information 📝 Gradient and gradient norm signals added to the PyTorch model 🔢 Unit test added 🧪 End-to-end test for reproducing the results on the CIFAR10 dataset 📊 Guidelines for potential contributors 🤝 Slack channel set up for better communications 💬
🐛 Bug fixes:
Fixed bugs in previous tutorials 🐞