cknabs Goto Github PK
Name: Christian Knabenhans
Type: User
Bio: PhD student at EPFL (SPRING & COMPSEC labs)
Blog: cknabs.github.io
Name: Christian Knabenhans
Type: User
Bio: PhD student at EPFL (SPRING & COMPSEC labs)
Blog: cknabs.github.io
A library to estimate parameters of popular versions of lattice problems (LWE and SIS in their integer, ring, and module versions) given various p-norms.
Arkworks bindings to Circom's R1CS, for Groth16 Proof and Witness generation in Rust.
A general purpose syntax highlighter in pure Go
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 Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
We are a community of researchers and developers interested in advancing homomorphic encryption and other secure computation techniques.
Google search from Python.
Pretty basic theme for Hugo that covers all of the essentials. All you have to do is start typing!
This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
Simple JSONResume theme (based on Macchiato theme)
A library for lattice-based homomorphic encryption in Go
C++ library for Finite Fields and Elliptic Curves
C++ library for Fast Fourier Transforms in finite fields
C++ library for zkSNARKs
An updated version of metagoofil
Extract hidden data from pdf files
Cooking recipe description language
Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
A simple, yet elegant HTTP library.
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.