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Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Zihan Wang
Na Huang
Fei Sun
Pengjie Ren
Zhumin Chen
Hengliang Luo
Maarten de Rijke
Z. Ren
    AAML
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Papers citing "Debiasing Learning for Membership Inference Attacks Against Recommender Systems"

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Title
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
Jarren Briscoe
Assefaw Gebremedhin
FaML
93
3
0
08 May 2025