Papers › Adversarial Attacks on Fairness of Graph Neural Networks

Adversarial Attacks on Fairness of Graph Neural Networks

20 Oct 2023arXiv:2310.13822archive 2025-07-28

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

Fairness-aware graph neural networks (GNNs) have gained a surge of attention as they can reduce the bias of predictions on any demographic group (e.g., female) in graph-based applications. Although these methods greatly improve the algorithmic fairness of GNNs, the fairness can be easily corrupted by carefully designed adversarial attacks. In this paper, we investigate the problem of adversarial attacks on fairness of GNNs and propose G-FairAttack, a general framework for attacking various types of fairness-aware GNNs in terms of fairness with an unnoticeable effect on prediction utility. In addition, we propose a fast computation technique to reduce the time complexity of G-FairAttack. The experimental study demonstrates that G-FairAttack successfully corrupts the fairness of different types of GNNs while keeping the attack unnoticeable. Our study on fairness attacks sheds light on potential vulnerabilities in fairness-aware GNNs and guides further research on the robustness of GNNs in terms of fairness.

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2ran · fixture could not drive it
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KernelEstimator zhangbinchi/g-fairattack/GFA.py official repository ran · fixture could not drive it fingerprinted MIT (permissive) · c16602e5d4527490 · report
SGC zhangbinchi/g-fairattack/GFA.py official repository ran · metamorphic tier: invariant fingerprinted MIT (permissive) · 99e3e10db548df4b · report
accuracy1 zhangbinchi/g-fairattack/GFA.py official repository ran fingerprinted MIT (permissive) · 42f8da3a49b5f6bb · report
choose_edge_approx zhangbinchi/g-fairattack/GFA.py official repository ran · fixture could not drive it MIT (permissive) · 50d8d0e5759dbc3b · report
fair_metric1 zhangbinchi/g-fairattack/GFA.py official repository ran fingerprinted MIT (permissive) · c4cc13d8cbfcb5f8 · report
neighbor_dist zhangbinchi/g-fairattack/GFA.py official repository ran MIT (permissive) · 89a0cd5f36dc2b64 · report
normalize_adj zhangbinchi/g-fairattack/GFA.py official repository ran · our draft was wrong MIT (permissive) · 8ed824fa0667c6a6 · report
EpanechnikovKernel zhangbinchi/g-fairattack/GFA.py official repository unverified MIT (permissive) · 9cef2b2b9c6687f6 · report
GFA zhangbinchi/g-fairattack/GFA.py official repository unverified MIT (permissive) · ffec5b5e1a3adcb3 · report
edge_loop zhangbinchi/g-fairattack/GFA.py official repository unverified MIT (permissive) · 93399c52141245d1 · report

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Fairness

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