https://github.com/edisonleeeee/guard

[CIKM 2023] GUARD: Graph Universal Adversarial Defense
https://github.com/edisonleeeee/guard

adversarial-defense dgl graph-adversarial-learning graph-neural-networks

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[CIKM 2023] GUARD: Graph Universal Adversarial Defense

• Host: GitHub
• URL: https://github.com/edisonleeeee/guard
• Owner: EdisonLeeeee
• Created: 2022-04-20T21:32:26.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-02-27T06:36:42.000Z (10 months ago)
• Last Synced: 2024-02-27T07:59:37.215Z (10 months ago)
• Topics: adversarial-defense, dgl, graph-adversarial-learning, graph-neural-networks
• Language: Python
• Homepage:
• Size: 7.1 MB
• Stars: 7
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# GUARD: Graph Universal Adversarial Defense

PyTorch implementation of the CIKM 2023 paper: "GUARD: Graph Universal Adversarial Defense" [[arXiv]](https://arxiv.org/abs/2204.09803).

  
Fig. 1. An illustrative example of graph universal defense. The universal patch p can be applied to an arbitrary node (here v1) to protect it from adversarial targeted attacks by removing adversarial edges (if exist).


# Requirements

+ torch==1.9

+ dgl==0.7.0

# Datasets

+ Cora (available in `data/`)

+ Pubmed (available in `data/`)

+ ogbn-arxiv from OGB

+ Reddit from http://snap.stanford.edu/graphsage/

Install graphattack:

```bash

cd GraphAttack

pip install -e .

```

# Quick Start

See `demo.ipynb`

# Reproduce results in the paper

run

```python

python evaluate_guard.py

```

# Cite

if you find this repo helpful, please cite our work:

```bixtex

@inproceedings{li2022guard,

  author       = {Jintang Li and

                  Jie Liao and

                  Ruofan Wu and

                  Liang Chen and

                  Zibin Zheng and

                  Jiawang Dan and

                  Changhua Meng and

                  Weiqiang Wang},

  title        = {{GUARD:} Graph Universal Adversarial Defense},

  booktitle    = {{CIKM}},

  pages        = {1198--1207},

  publisher    = {{ACM}},

  year         = {2023}

}

```