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Microsoft SEAL 4.X For Python
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
Fully Homomorphic Image Preprocessing and analysis - JPEG encoding, decoding, image resizing.
A cross compiler and standardized benchmarks for fully homomorphic encryption
ROS Package for Simultaneous Exploration and Localization for Multi-Robot Applications
A CLI tool to scan and fix your project's open-source vulnerabilities using Seal packages.
本项目为 https://github.com/hequan2017/seal 项目 前端vue版本 基于 iview-admin 2.5.0 支持 动态菜单 本项目已停止开发!因长时间未对代码进行维护,可能会造成项目在不同环境上无法部署、运行BUG等问题,请知晓!项目仅供参考!
Crypto-Convolutional Neural Network library written on top of SEAL 2.3.1
A GitHub action to run Seal Security's CLI as part of your CI pipeline, and so fix your project's open-source vulnerabilities.
secure your api endpoint by limiting access over period of time.
how to install and run examples with helib, SEAL, fhe-toolkit-linux, etc
The library provides convenient way to represent/parse configuration from different sources. The main goals is to be very easy to use and to be extendable
A ready-to-go testing Ethereum cluster in Proof of Authority mode.
The a.sign premium seal qualified is qualified electonic seal in accordance with the eIDAS regulation.
Original SEAL homomorphic encryption library, slightly modified to use it as dependency for Pyfhel.
Performs sealing of Red Hat Enterprise Linux machine
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
CKKS (Cheon-Kim-Kim-Song) scheme for calculation of a polynomial(3x^2+0.4x+1) using homomorphic encryption and Microsoft's SEAL library.
🔒 Homomorphic two dimensional Euclidean distance computation using SEAL
Evaluation of three parallel polynomial evaluation algorithms written for CUDA in C++ (Horner's method, Dorn's method, and Estrin's algorithm).
Experimental C# bindings for SEAL
application that uses homomorphic encryption and Luhn's algorithm to validate credit card numbers without exposing actual card details. This provides a privacy-preserving method to verify sensitive information without compromising security.
Seal is an application for downloading videos from YouTube, Instagram, TikTok, Twitter, Facebook, Twitch, Reddit and other platforms using dlp, a fork of the project. With it, you can download videos at maximum quality from streaming platforms, as well as convert them to MP3 or MP4 audio formats.
This is the repository of the Simpleman API project. API Simpelmen was a project while attending the MBKM internship at SEAL Semarang