FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers

Privacy concerns in the modern digital age have prompted researchers to develop techniques that allow users to selectively suppress certain information in collected data while allowing for other information to be extracted. In this regard, semi-adversarial networks (SANs) have recently emerged as a...

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Bibliographic Details
Main Authors: Vahid Mirjalili, Sebastian Raschka, Arun Ross
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biometrics
face image
semi-adversarial networks
SAN
gender
privacy
Online Access:https://ieeexplore.ieee.org/document/8744230/

Internet

https://ieeexplore.ieee.org/document/8744230/

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