facebookresearch / fbpcsLinks
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.
☆153Updated 9 months ago
Alternatives and similar repositories for fbpcs
Users that are interested in fbpcs are comparing it to the libraries listed below
Sorting:
- FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation)…☆100Updated last year
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆212Updated 10 months ago
- Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who pa…☆143Updated 11 months ago
- ☆68Updated 8 months ago
- Cerebro: A platform for Secure Coopetitive Learning☆21Updated 3 years ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- A Platform for Secure Analytics and Machine Learning☆304Updated 2 years ago
- An Implementation of Incremental Distributed Point Functions in C++☆78Updated 2 weeks ago
- The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological in…☆121Updated 4 months ago
- Python wrapper for open source Zero Proof Knowledge Library☆31Updated 4 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆174Updated 2 years ago
- CUDA Homomorphic Encryption Library☆202Updated 8 years ago
- Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters☆145Updated this week
- Compiler for the SEAL homomorphic encryption library☆247Updated last year
- Secure aggregation protocol for TensorFlow Federated☆22Updated 5 years ago
- Cryptographically secure pseudorandom number generators for PyTorch☆121Updated 2 months ago
- Query compiler for secure multi-party computation.☆99Updated 5 years ago
- A Microsoft-SEAL-compatible implementation of homomorphic encryption targeting Azure Sphere and other embedded devices.☆51Updated 3 years ago
- Private Information Retrieval protocol☆45Updated 4 years ago
- CUDA-accelerated Fully Homomorphic Encryption Library☆231Updated 4 years ago
- SHEEP is a Homomorphic Encryption Evaluation Platform☆51Updated 2 years ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 5 years ago
- ☆120Updated 4 months ago
- Secure distributed dataflow framework for encrypted machine learning and data processing☆68Updated last year
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆279Updated last week
- Intel Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption by leveraging …☆241Updated last month
- User-friendly secure computation engine based on secure multi-party computation☆375Updated 2 years ago
- The reference implementation of SimplePIR and DoublePIR, accompanying the paper "One Server for the Price of Two: Simple and Fast Single-…☆91Updated 2 years ago
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆297Updated this week
- ☆432Updated last year