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Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)

Published: 13 September 2021
on channel: Sebastian Raschka
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Sebastian's books: https://sebastianraschka.com/books/

July 2021. Invited keynote talk at the 14th International Conference on Human System Interaction (HSI 2021).
Slides: https://sebastianraschka.com/pdf/slid...

After introducing the main concepts behind face recognition and soft-biometric attribute mining (i.e., the extraction of information such as age, gender, race, health information, and others), this talk discusses different methods for hiding soft-biometric information from facial recognition systems. After introducing the main methodologies, the talk focuses on the PrivacyNet architecture, which is a GAN-based approach to collective and selective facial privacy.

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