Implementation of protocols in Falcon
☆95Jul 30, 2024Updated last year
Alternatives and similar repositories for falcon-public
Users that are interested in falcon-public are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of protocols in SecureNN.☆132Oct 8, 2022Updated 3 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆52Jul 14, 2021Updated 4 years ago
- Piranha: A GPU Platform for Secure Computation☆104Apr 2, 2023Updated 3 years ago
- A Three Party MPC framework for Machine learning and Databases☆213Feb 27, 2026Updated last month
- Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)☆56Jul 24, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆447Jun 19, 2024Updated last year
- ☆40Nov 8, 2024Updated last year
- A SMPC companion library for Syft☆108Feb 4, 2026Updated 2 months ago
- The repo of "Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference" (USENIX Security 2023)☆21Jun 27, 2023Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆90Jun 17, 2021Updated 4 years ago
- ☆214Feb 25, 2025Updated last year
- Input scripts for securely evaluating quantized ImageNet models with mp-spdz☆19Oct 6, 2020Updated 5 years ago
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆492Feb 22, 2022Updated 4 years ago
- Versatile framework for multi-party computation☆1,140Mar 31, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs☆11Jan 27, 2023Updated 3 years ago
- ☆68Sep 16, 2018Updated 7 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆31Feb 26, 2023Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆132Jul 22, 2024Updated last year
- FLUTE: Fast and Secure Lookup Table Evaluations☆28Apr 15, 2024Updated 2 years ago
- Paper Notes in MPC with Applications to PPML☆71Mar 22, 2024Updated 2 years ago
- ☆32Jul 12, 2023Updated 2 years ago
- A fast, portable, and easy to use Oblivious Transfer Library☆492Mar 23, 2026Updated 3 weeks ago
- ☆16Oct 16, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Sample code and build environments for MPC frameworks☆520Dec 12, 2024Updated last year
- ☆130Sep 1, 2025Updated 7 months ago
- The repo of "Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits" (CCS 2024)☆12Sep 6, 2024Updated last year
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆92Jul 20, 2023Updated 2 years ago
- Antchain-MPC is a library of MPC (Multi-Parties Computation)☆60Dec 26, 2023Updated 2 years ago
- A framework for Privacy Preserving Machine Learning☆1,642Nov 23, 2024Updated last year
- Privacy -preserving Neural Networks☆78Dec 21, 2018Updated 7 years ago
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆322Updated this week
- Materials about Privacy-Preserving Machine Learning☆264Feb 2, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆102Jun 12, 2023Updated 2 years ago
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆18Aug 8, 2024Updated last year
- Private and Reliable Neural Network Inference (CCS '22)☆22Jul 11, 2023Updated 2 years ago
- A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.☆94Mar 6, 2026Updated last month
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆57Jan 24, 2026Updated 2 months ago
- NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms☆20Dec 24, 2025Updated 3 months ago
- Benchmarks for various multi-party computation frameworks☆18Oct 28, 2024Updated last year