Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training

In widely used neural network-based collaborative filtering models, users' history logs are encoded into latent embeddings that represent the users' preferences. In this setting, the models are capable of mapping users' protected attributes (e.g., gender or ethnicity) from these user...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Escobedo, Gustavo, Ganhör, Christian, Brandl, Stefan, Augstein, Mirjam, Schedl, Markus
Format:	Artikel
Sprache:	eng
Schlagworte:	Demographics Neural networks User groups
Online-Zugang:	Volltext
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