LaRiffle / collateral-learning
Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
☆76Updated 9 months ago
Alternatives and similar repositories for collateral-learning:
Users that are interested in collateral-learning are comparing it to the libraries listed below
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- A library for running Functional Encryption on tensors☆44Updated 4 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- A SMPC companion library for Syft☆103Updated 5 months ago
- A concise primer on Differential Privacy☆29Updated 4 years ago
- ☆22Updated 2 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 6 years ago
- Defines types for all Serde encoding across languages☆20Updated 8 months ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Updated 4 years ago
- distributed federated learning for pytorch☆15Updated 7 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 3 years ago
- Federated Learning on HyperLedger Aries☆21Updated 2 years ago
- Implementation of protocols in SecureNN.☆129Updated 2 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A privacy-preserving app for comparing last-known locations of coronavirus patients☆44Updated last year
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆8Updated 6 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 5 years ago
- Bridge between TensorFlow and Google's Private Join and Compute library☆16Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- Benchmark and comparison of secure Deep Learning platforms: TF Privacy, PySyft and TF-Encrypted☆10Updated 4 years ago
- Tensor Based Environment Framework for Training RL Agents - Pre Alpha☆8Updated 5 years ago
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆11Updated 2 years ago