Practical Privacy-Preserving K-means Clustering (PETS-2020)
☆34Jun 10, 2021Updated 5 years ago
Alternatives and similar repositories for secure-kmean-clustering
Users that are interested in secure-kmean-clustering are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A generic Secure Computation API for garbled circuits, SPDZ, etc.☆21May 12, 2023Updated 3 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆19Aug 3, 2026Updated 2 weeks ago
- A two-party generator for Vector-OLE correlations.☆31Jan 17, 2021Updated 5 years ago
- tree-mendously speedy DPFs in C++☆11Dec 19, 2024Updated last year
- A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.☆33Apr 16, 2019Updated 7 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.
- A fast, portable, and easy to use Oblivious Transfer Library☆503Aug 10, 2026Updated last week
- C++ OT extension implementation☆129Nov 13, 2020Updated 5 years ago
- ☆259Apr 2, 2026Updated 4 months ago
- A Framework for Machine Learning on Encrypted Data☆12Feb 10, 2022Updated 4 years ago
- Software for "Secure genome-wide association analysis using multiparty computation", Nature Biotechnology, 2018☆19Aug 16, 2018Updated 8 years ago
- News in Privacy-Preserving Machine Learning☆12Feb 5, 2020Updated 6 years ago
- A Three Party MPC framework for Machine learning and Databases☆211Feb 27, 2026Updated 5 months ago
- Tool for Automating efficient Secure Two-partY computation protocols☆10Nov 10, 2016Updated 9 years ago
- Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs☆11Jan 27, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- An implementation of "The Simplest Oblivious Transfer Protocol"☆28Nov 13, 2018Updated 7 years ago
- Privacy-preserving k-means clustering on data owned by multiple parties☆14May 10, 2016Updated 10 years ago
- Federated k-means clustering algorithm implementation and proof of concept.☆33Sep 7, 2021Updated 4 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Oct 1, 2019Updated 6 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆36Jan 6, 2023Updated 3 years ago
- ☆40Nov 8, 2024Updated last year
- Private Decision Tree Evaluation protocols☆12Jun 9, 2020Updated 6 years ago
- A research project on isomorphisms of finite fields☆16Jun 15, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A two-party secure function evaluation using Yao's garbled circuit protocol☆81Jun 12, 2024Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- 🔬 深度学习项目库 —— 基于 sklearn☆19Apr 14, 2023Updated 3 years ago
- Batch Dual Execution framework for secure multiparty computation☆16Jul 3, 2017Updated 9 years ago
- ☆33Dec 30, 2022Updated 3 years ago
- Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]☆103Sep 22, 2023Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆94Jun 17, 2021Updated 5 years ago
- Privacy-preserving XGBoost Inference☆51Apr 13, 2026Updated 4 months ago
- ☆18Feb 3, 2026Updated 6 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Secure Aggregation for Federated Learning with Malicious Actors☆26Dec 6, 2022Updated 3 years ago
- ☆216Feb 25, 2025Updated last year
- Core smart contract of SuperNet☆12Sep 14, 2024Updated last year
- ☆184Jun 21, 2021Updated 5 years ago
- Realizing private and practical pharmacological collaboration☆15Oct 19, 2018Updated 7 years ago
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆495Jul 17, 2026Updated last month
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago