21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Differentially Private Federated Learning on Heterogeneous Data

This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)

IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning

Decentralized Secure Aggregation with Failover and Encryption (SAFE)

Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.

A secure aggregation system for private federated learning

A simple Python implementation of a secure aggregation protocole for federated learning.

💊 Application to use ReVanced on Android

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

A toolbox for differentially private data generation

autodp: A flexible and easy-to-use package for differential privacy

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

A unified framework for privacy-preserving data analysis and machine learning

Fit interpretable models. Explain blackbox machine learning.

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

list of differential-privacy related resources

AgreementMaker Ontology Matching System

BERTMap: A BERT-Based Ontology Alignment System

OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes that represent the same domain.

Creation of a data lakehouse and an ELT pipeline to enable the efficient analysis and use of data

Flower: A Friendly Federated AI Framework

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

An Open Framework for Federated Learning.

A more intuitive version of du in rust

federated-learning

BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level …

string embed for fast edit distance computation, codes for [Convolutional Embedding for Edit Distance (SIGIR 20)].

Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing