Papers › Center-Based Relaxed Learning Against Membership Inference Attacks

Center-Based Relaxed Learning Against Membership Inference Attacks

26 Apr 2024arXiv:2404.17674archive 2025-07-28

Xingli Fang, Jung-eun Kim

Membership inference attacks (MIAs) are currently considered one of the main privacy attack strategies, and their defense mechanisms have also been extensively explored. However, there is still a gap between the existing defense approaches and ideal models in performance and deployment costs. In particular, we observed that the privacy vulnerability of the model is closely correlated with the gap between the model's data-memorizing ability and generalization ability. To address this, we propose a new architecture-agnostic training paradigm called center-based relaxed learning (CRL), which is adaptive to any classification model and provides privacy preservation by sacrificing a minimal or no loss of model generalizability. We emphasize that CRL can better maintain the model's consistency between member and non-member data. Through extensive experiments on standard classification datasets, we empirically show that this approach exhibits comparable performance without requiring additional model capacity or data costs.

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get_attack_preds jekimlab/uai24_crl/summary_acc_paramter_single_auc_arc.py official repository ran MIT (permissive) · 130827a9ff96589d · report
get_network jekimlab/uai24_crl/models/model_selector.py official repository ran MIT (permissive) · dec333d29bb209bc · report
load_attack_model jekimlab/uai24_crl/summarization/load_model.py official repository ran MIT (permissive) · cdb961d28eae592f · report
load_target_model jekimlab/uai24_crl/summarization/load_model.py official repository ran MIT (permissive) · e6db65b17e13655b · report
one_hot_embedding jekimlab/uai24_crl/representation/loss/crl.py official repository ran MIT (permissive) · 19eccdc224bb3bed · report
get_attack_model jekimlab/uai24_crl/summarization/load_model.py official repository unverified MIT (permissive) · cb1836f89f485d87 · report
get_target_preds jekimlab/uai24_crl/summary_acc_paramter_single_auc_arc.py official repository unverified MIT (permissive) · 8c52853d4c3ab826 · report
run jekimlab/uai24_crl/summary_acc_paramter_single_auc_arc.py official repository unverified MIT (permissive) · 1e7fae4f0ba5e2ce · report

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