• DOI:10.1109/TPAMI.2020.3015420
Corpus ID: 219966361

SensitiveNets: Learning Agnostic Representations with Application to Face Images.

@article{Morales2020SensitiveNetsLA,
  title={SensitiveNets: Learning Agnostic Representations with Application to Face Images.},
  author={A. Morales and Julian Fierrez and Rub{\'e}n Vera-Rodriguez and R. Tolosana},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2020},
  volume={PP}
}

A. Morales, Julian Fierrez, +1 author R. Tolosana

Published 2020

Computer Science, Medicine

IEEE transactions on pattern analysis and machine intelligence

This work proposes a novel privacy-preserving neural network feature representation to suppress the sensitive information of a learned space while maintaining the utility of the data. The new international regulation for personal data protection forces data controllers to guarantee privacy and avoid discriminative hazards while managing sensitive data of users. In our approach, privacy and discrimination are related to each other. Instead of existing approaches aimed directly at fairness… CONTINUE READING

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