DistributedML / TorMLLinks
A collaborative machine learning framework that operates through Tor.
☆12Updated 5 years ago
Alternatives and similar repositories for TorML
Users that are interested in TorML are comparing it to the libraries listed below
Sorting:
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- ☆38Updated 3 years ago
- A ledger for private and secure peer to peer machine learning☆108Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- A curated list of resources for privacy-preserving machine learning☆149Updated 3 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- ☆33Updated 2 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Privacy preserving vertical federated learning for tree-based models☆27Updated 3 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- A SMPC companion library for Syft☆104Updated last month
- Perform multi-party computation on machine learning applications☆22Updated 3 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆26Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- A library for running Functional Encryption on tensors☆43Updated 4 years ago
- ☆19Updated 3 years ago
- Privacy Budget Orchestration in Machine Learning Workloads (OSDI '21)☆25Updated last year
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 5 years ago
- ☆12Updated 5 years ago
- Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.☆81Updated 2 years ago
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆32Updated 6 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 4 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- ☆88Updated 5 years ago