pytorch / csprng
Cryptographically secure pseudorandom number generators for PyTorch
☆115Updated 3 months ago
Alternatives and similar repositories for csprng:
Users that are interested in csprng are comparing it to the libraries listed below
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆173Updated 2 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Code for fast dpsgd implementations in JAX/TF☆59Updated 2 years ago
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆257Updated 3 months ago
- FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation)…☆100Updated 9 months ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆225Updated 2 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- A SMPC companion library for Syft☆102Updated 4 months ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…☆150Updated 4 months ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆93Updated 9 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
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated 8 months ago
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆116Updated 3 years ago
- Cerebro: A platform for Secure Coopetitive Learning☆21Updated 3 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆93Updated last year
- Compiler for the SEAL homomorphic encryption library☆236Updated 8 months ago
- A library for running Functional Encryption on tensors☆44Updated 4 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆28Updated this week
- Implementation of protocols in SecureNN.☆130Updated 2 years ago
- ☆38Updated 3 years ago
- Privacy-preserving XGBoost Inference☆48Updated last year
- PyTorch RFCs (experimental)☆131Updated 7 months ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆146Updated 4 months ago
- CUDA-accelerated Fully Homomorphic Encryption Library☆220Updated 3 years ago
- Federated Learning Utilities and Tools for Experimentation☆188Updated last year