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Source code corresponding to the paper : Escobedo, G, Ganhör, C., Brandl, S., Augstein, M., and Schedl, M. "Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training", (BIAS @ SIGIR 2024), Washington D.C., USA, July 2024.

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Source code corresponding to the paper : Escobedo, G, Ganhör, C., Brandl, S., Augstein, M., and Schedl, M. "Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training", (BIAS @ SIGIR 2024), Washington D.C., USA, July 2024.

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  • Python 71.4%
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