Pinned Repositories
CryptoNets-1
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.
CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
dftest
Unit testing-like capbailities for testing data integrity in pandas dataframes
GaitAndBalanceApp
An application to measure Gait and Balance properties of humans using depth cameras
intro2ds_notebooks
langchain_csv
nam
Neural Additive Models (Google Research)
pre-sessional
pybryt
Python library for pedagogical auto-assessment
pytorch_geometric
Graph Neural Network Library for PyTorch
ranigb's Repositories
ranigb/GaitAndBalanceApp
An application to measure Gait and Balance properties of humans using depth cameras
ranigb/CryptoNets-1
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.
ranigb/CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
ranigb/dftest
Unit testing-like capbailities for testing data integrity in pandas dataframes
ranigb/intro2ds_notebooks
ranigb/langchain_csv
ranigb/nam
Neural Additive Models (Google Research)
ranigb/pre-sessional
ranigb/pybryt
Python library for pedagogical auto-assessment
ranigb/pytorch_geometric
Graph Neural Network Library for PyTorch
ranigb/Set-Tree
Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)