Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"

ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341

Code for fast dpsgd implementations in JAX/TF

DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.

dp-custom

This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

Implementations of some federated learning algorithms - FedAvg, SCAFFOLD, MIME

Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"

Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"

A collection of Google research projects related to Federated Learning and Federated Analytics.

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

A simple method to perform semi-supervised learning with limited data.

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

An open-source framework for machine learning and other computations on decentralized data.

Simplicial-FL to manage client device heterogeneity in Federated Learning

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.