Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event, including lecture slides, demo codes, etc.
☆32Aug 19, 2020Updated 5 years ago
Alternatives and similar repositories for Private-AI-Bootcamp-Materials
Users that are interested in Private-AI-Bootcamp-Materials are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Some algorithms for computation on encrypted data based on Microsoft SEAL☆27Jul 16, 2020Updated 5 years ago
- Team CEA-EPFL-Inpher: code for the iDash 2018 competition☆24Sep 10, 2018Updated 7 years ago
- ☆24Dec 2, 2019Updated 6 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆176Jan 3, 2023Updated 3 years ago
- A crypto-assisted framework for protecting the privacy of models and queries in inference.☆19Oct 28, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆50Aug 21, 2024Updated last year
- Compiler for the SEAL homomorphic encryption library☆255Jul 3, 2024Updated last year
- Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.☆82Mar 24, 2023Updated 3 years ago
- Intel Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, I…☆112Dec 20, 2022Updated 3 years ago
- ☆22Oct 1, 2018Updated 7 years ago
- Intel Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption by leveraging …☆263Jun 4, 2026Updated 2 weeks ago
- ☆16Mar 26, 2026Updated 2 months ago
- Number Theoretic Transform Implementation on GPU for FHE Applications☆44Feb 6, 2021Updated 5 years ago
- Optimized implementations of the Number Theoretic Transform (NTT) algorithm for the ring R/(X^N + 1) where N=2^m.☆27Nov 23, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Optimized Circuit Generation for Secure Multiparty Computation☆12Nov 25, 2019Updated 6 years ago
- Recursive unified ORAM☆16Sep 23, 2015Updated 10 years ago
- Homomorphic matrix computation☆43Aug 7, 2019Updated 6 years ago
- ☆29Dec 11, 2018Updated 7 years ago
- Scripts to generate data for security parameters constraints section☆19Dec 11, 2024Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- ☆15Mar 19, 2026Updated 2 months ago
- ☆20Dec 30, 2025Updated 5 months ago
- A CPU and GPU accelerated framework for TFHE. The framework includes algebraic, vector, and matrix operations.☆21Apr 15, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- CasHMC: A Cycle-accurate Simulator for Hybrid Memory Cube☆23Aug 10, 2018Updated 7 years ago
- ☆20Oct 22, 2024Updated last year
- ☆68Sep 16, 2018Updated 7 years ago
- ☆29Feb 8, 2022Updated 4 years ago
- ☆13Jun 11, 2021Updated 5 years ago
- Linear-complexity Private Function Evaluation (PFE) based on homomorphic encryption (as presented at ESORICS'20).☆10Sep 14, 2020Updated 5 years ago
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆11May 19, 2022Updated 4 years ago
- E3: Encrypt-Everything-Everywhere framework for compiling C++ programs with encrypted operands.☆99Mar 3, 2023Updated 3 years ago
- A simulation of disease spread in livestock populations. Includes detection and containment simulation.☆10May 8, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- an implementation of CryptoNets☆11Aug 22, 2018Updated 7 years ago
- CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allo…☆311Jul 16, 2024Updated last year
- ☆116Jul 4, 2024Updated last year
- Lattices in Cryptography (University of Michigan)☆125Feb 6, 2026Updated 4 months ago
- ☆16Aug 31, 2021Updated 4 years ago
- Secure Inference Resilient Against Malicious Clients☆14May 3, 2022Updated 4 years ago
- ☆13May 28, 2024Updated 2 years ago