FanQiHang

AggregaThor

Byzantine-resilient distributed SGD with TensorFlow.

AI-Lancet

AI-Lancet, backdoor removal

Algorithm

Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

Bayesian-Resnet

Bayesian_model_comparison

Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

corrupting_labels_with_distillation

Code for paper "Label Noise Types and Their Effects on Learning"

Deep-Forest

An implementation of Deep Forest 2021.2.1.

dlg

[NeurIPS 2019] Deep Leakage From Gradients

FanQiHang/AggregaThor

Byzantine-resilient distributed SGD with TensorFlow.

FanQiHang/AI-Lancet

AI-Lancet, backdoor removal

FanQiHang/Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

FanQiHang/Bayesian_model_comparison

Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

FanQiHang/corrupting_labels_with_distillation

Code for paper "Label Noise Types and Their Effects on Learning"

FanQiHang/Deep-Forest

An implementation of Deep Forest 2021.2.1.

FanQiHang/dlg

[NeurIPS 2019] Deep Leakage From Gradients

FanQiHang/Enhancing_SP

FanQiHang/EvaluatingDPML

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

FanQiHang/federated

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

FanQiHang/Federated_learning_with_local_differential_privacy

Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.

FanQiHang/FedNLP

FedNLP: A Research Platform for Federated Learning in Natural Language Processing

FanQiHang/GAN-Leaks

Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)

FanQiHang/influence-release

FanQiHang/invertinggradients

Algorithms to recover input data from their gradient signal through a neural network

FanQiHang/label-only

Code for the paper: Breaching Membership Privacy with Labels-Only

FanQiHang/machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

FanQiHang/mia

A library for running membership inference attacks against ML models

FanQiHang/mia_prune

Membership Inference Attacks and Defenses in Neural Network Pruning

FanQiHang/MIAdefenseSELENA

FanQiHang/mpc-code

Sample code and build environments for MPC frameworks

FanQiHang/MyNeuralCleanse

复现了下Neural Cleanse这篇论文，真的是简单而有效，发在了okaland

FanQiHang/pengruiliu-github.io

FanQiHang/posterior_replay_cl

Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.

FanQiHang/privacy

Library for training machine learning models with privacy for training data

FanQiHang/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

FanQiHang/RE-paper

Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing

FanQiHang/Rethink-BiasVariance-Tradeoff

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

FanQiHang/robustBNNs

Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"

FanQiHang/ShadowDatasets