baobunuo

AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

attack_vae

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

BUAAthesis

北航毕设论文LaTeX模板

CSBook

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

EvalNE

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

FATE

An Industrial Grade Federated Learning Framework

grabnel

[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)

Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

graph-de-anonymization

Seed based and seed-free graph de-anonymization.

graph-information-bottleneck-for-Subgraph-Recognition

GraphLeaks

Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020

GraphMI

Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"

MGE

implementation of MGE: Multi-view Graph Contrastive Encoding for Graph Neural Networks Pre-training

models

openfl

An open framework for Federated Learning.

OpenNE

An Open-Source Package for Network Embedding (NE)

PySyft

A library for answering questions using data you cannot see

ReFine

Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (2021 NeurIPS)

reliable_gnn_via_robust_aggregation

This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).

robustness_of_gnns_at_scale

This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).

Rosetta

A Privacy-Preserving Framework Based on TensorFlow

SEAL_OGB

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Secure-Network-Release-with-Link-Privacy

Social-Circles

Discovering Social Circles- A Topological Data Analysis Project

Variational-Recurrent-Autoencoder-Tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

VGAE_base_privacy_protect

VGNAE

(CIKM'21) Variational Graph Normalized Auto-Encoders

WARGA

The experimental implementation for the paper Wasserstein Adversarially Regularized Graph Autoencoder