Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)
September 13, 2021
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10:15L19.5.2.6 BART: Combining Bidirectional and Auto-Regressive Transformers
34:39Now PlayingDesigning Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)
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as posted by the channelSebastian's books
July 2021. Invited keynote talk at the 14th International Conference on Human System Interaction (HSI 2021).
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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