Výsledky vyhledávání - "Escobedo, Gustavo"

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

Autor: Escobedo, Gustavo, Ganhör, Christian, Brandl, Stefan, Augstein, Mirjam, Schedl, Markus

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., ge

Externí odkaz: http://arxiv.org/abs/2410.20965

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Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models

Autor: Escobedo, Gustavo, Moscati, Marta, Muellner, Peter, Kopeinik, Simone, Kowald, Dominik, Lex, Elisabeth, Schedl, Markus

Users' interaction or preference data used in recommender systems carry the risk of unintentionally revealing users' private attributes (e.g., gender or race). This risk becomes particularly concerning when the training data contains user preferences

Externí odkaz: http://arxiv.org/abs/2406.11505

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Determinacion de la resistencia a la compresion uniaxil a partir de registros

Autor: Gutierrez Escobedo, Gustavo

Publikováno v: Universidad Nacional Autónoma de México
UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::45df5153babaf9daff0aa715530cfa3c
http://www.remeri.org.mx/portal/REMERI.jsp?id=oai:tesis.dgbiblio.unam.mx:000292474

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