Infocensor: an information-theoretic framework against sensitive attribute inference and demographic disparity

T Zheng, B Li - Proceedings of the 2022 ACM on Asia Conference on …, 2022 - dl.acm.org
Deep learning sits at the forefront of many on-going advances in a variety of learning tasks.
Despite its supremacy in accuracy under benign environments, Deep learning suffers from …

[PDF][PDF] InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity

T Zheng, B Li - 2022 - tianzheng4.github.io
Aided by big data and over-parameterization, modern deep learning techniques can
achieve excellent performance in many learning tasks under benign environments …

[引用][C] InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity

T Zheng, B Li - 2022

[引用][C] InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity

T Zheng, B Li - 2022