pytorch / csprng
Cryptographically secure pseudorandom number generators for PyTorch
☆117Updated 5 months ago
Alternatives and similar repositories for csprng:
Users that are interested in csprng are comparing it to the libraries listed below
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆173Updated 2 years ago
- FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…☆151Updated 5 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆225Updated 2 years ago
- FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation)…☆100Updated 10 months ago
- 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
- A SMPC companion library for Syft☆103Updated 5 months ago
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆261Updated 3 weeks ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 9 months ago
- Code for fast dpsgd implementations in JAX/TF☆59Updated 2 years ago
- Python wrapper for open source Zero Proof Knowledge Library☆30Updated 4 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆94Updated last year
- ☆68Updated 5 months ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆94Updated 3 weeks ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- Cerebro: A platform for Secure Coopetitive Learning☆21Updated 3 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Compiler for the SEAL homomorphic encryption library☆241Updated 10 months 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
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆208Updated 6 months ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆276Updated last week
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆146Updated 6 months ago
- The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological in…☆120Updated last week
- CUDA-accelerated Fully Homomorphic Encryption Library☆226Updated 3 years ago
- Implementation of protocols in SecureNN.☆129Updated 2 years ago