PerryLiu's repositories
AggregaThor
Byzantine-resilient distributed SGD with TensorFlow.
AI-Lancet
AI-Lancet, backdoor removal
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
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
EvaluatingDPML
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
Federated_learning_with_local_differential_privacy
Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
FedNLP
FedNLP: A Research Platform for Federated Learning in Natural Language Processing
invertinggradients
Algorithms to recover input data from their gradient signal through a neural network
label-only
Code for the paper: Breaching Membership Privacy with Labels-Only
machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
mia
A library for running membership inference attacks against ML models
mia_prune
Membership Inference Attacks and Defenses in Neural Network Pruning
MyNeuralCleanse
复现了下Neural Cleanse这篇论文,真的是简单而有效,发在了okaland
posterior_replay_cl
Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.
privacy
Library for training machine learning models with privacy for training data
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
RE-paper
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
Rethink-BiasVariance-Tradeoff
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
robustBNNs
Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"