Implementations of FATE attack was borrowed from the github repo of ICLR 2024 submission "Deceptive Fairness Attacks on Graphs via Meta Learning"

Requirements

Sttored in requirements.txt for pip and fate_new.yaml for conda.

Running attacks

To generate the poisoned graph with FATE and baselines, go to src/ folder and run fate_attack.sh and baselines_attack.sh bash scripts respectively.

Running training for the victim models

To train the victim model, go to src/ folder and run the all_train.sh bash script to train using vanilla GCN, fair GNN, and our fair training method.