Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Tsung-Hsien Lin, Ying-Shuo Lee, Fu-Chieh Chang, J. Morris Chang, Pei Yuan Wu. Protecting Sensitive Attributes by Adversarial Training Through Class-Overlapping Techniques. IEEE Transactions on Information Forensics and Security, 18:1283-1294, 2023. [doi]

The following publications are possibly variants of this publication:

Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute PrivacyXiaoting Li 0001, Lingwei Chen, Dinghao Wu. tkdd, 18(2), February 2024. [doi]

runs on WebDSL