Membership Inference Attack against Graph Neural Networks

Last update: Nov 09, 2022

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Overview

MIA GNN Project Starter

If you meet the version mismatch error for Lasagne library, please use following command to upgrade Lasagne library.

pip install --upgrade https://github.com/Lasagne/Lasagne/archive/master.zip

MIA Attack Process

Step1: Training Target Model using Target Dataset
Step2: Training Shadow Model using Shadow Dataset
Step3: Training Attack Model using Posteriors retrieved from Shadow Model

Here, Target Dataset and Shadow Dataset are disjoint.

Training Target and Shadow Model by GCN model

TUs: DD, PROTEINS_full, ENZYMES

# 10: run 10 times ;100:start from 100 epochs; DD : dataset DD
sh run_TUs_target_shadow_training.sh 10 100 DD

SPs: CIFAR10, MNIST

# 10: run 10 times ;100:start from 100 epochs; DD : dataset DD
sh run_SPs_target_shadow_training.sh 10 100 DD

Membership Inference Attack

# For transfer based attack, run 15 times
sh run_transfer_attach.sh 15

Acknowledge

This project references from benchmarking-gnn and DeeperGCN

If it has any issues, please let me know.

Membership Inference Attack against Graph Neural Networks

Related tags

Overview

MIA GNN Project Starter

MIA Attack Process

Training Target and Shadow Model by GCN model

TUs: DD, PROTEINS_full, ENZYMES

SPs: CIFAR10, MNIST

Membership Inference Attack

Acknowledge

Owner

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch

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LoFTR:Detector-Free Local Feature Matching with Transformers CVPR 2021

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Graph WaveNet apdapted for brain connectivity analysis.

Code for the paper "How Attentive are Graph Attention Networks?"

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC).

Official implementation of YOGO for Point-Cloud Processing

An automated algorithm to extract the linear blend skinning (LBS) from a set of example poses

PyTorch implementation of the cross-modality generative model that synthesizes dance from music.

A simple python library for fast image generation of people who do not exist.

[AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore

Membership Inference Attack against Graph Neural Networks

Related tags

Overview

MIA GNN Project Starter

MIA Attack Process

Training Target and Shadow Model by GCN model

TUs: DD, PROTEINS_full, ENZYMES

SPs: CIFAR10, MNIST

Membership Inference Attack

Acknowledge

Owner

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch

Adaptive FNO transformer - official Pytorch implementation

Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation.

nn_builder lets you build neural networks with less boilerplate code

Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.

High performance distributed framework for training deep learning recommendation models based on PyTorch.

LoFTR:Detector-Free Local Feature Matching with Transformers CVPR 2021

시각 장애인을 위한 스마트 지팡이에 활용될 딥러닝 모델 (DL Model Repo)

Graph WaveNet apdapted for brain connectivity analysis.

Code for the paper "How Attentive are Graph Attention Networks?"

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC).

Official implementation of YOGO for Point-Cloud Processing

An automated algorithm to extract the linear blend skinning (LBS) from a set of example poses

PyTorch implementation of the cross-modality generative model that synthesizes dance from music.

A simple python library for fast image generation of people who do not exist.

[AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch