Face Privacy Protection Based on Attribute Manipulation
Pages 185 - 188
Abstract
Recent studies have shown the possibility of inferring soft biometric attributes from individual facial images, such as age, gender, and race. This has aroused people's concern about privacy. To solve this problem, we designed a generation confrontation network to achieve the purpose of privacy protection by confusing or preserving the soft biometrics of face images and preserving the identity matching function of the original face. Our method can complete the conversion between multiple facial attributes by using only one generation model. Users can flexibly select the retention or modification of facial attributes without affecting the accuracy of identity matching. A large number of experiments show the effectiveness of our method.
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Published In
December 2021
584 pages
ISBN:9781450384971
DOI:10.1145/3512576
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Association for Computing Machinery
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Publication History
Published: 11 April 2022
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- Research-article
- Research
- Refereed limited
Funding Sources
- Yunnan Innovation Team of Education Informatization for Nationalities, and Yunnan ExpertWorkstation of Xiaochun Cao
- postgraduate scientific research innovation project of Yunnan Normal University
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ICIT 2021
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