TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Houssiau, F., Jordon, J., Cohen, S., Elliott, A. , Geddes, J., Mole, C., Rangel-Smith, C. and Szpruch, L. (2022) TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, New Orleans, Louisiana, United States, 2 December 2022.

Abstract

No abstract available.

• Item Type: Conference or Workshop Item
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Elliott, Dr Andrew
• Authors: Houssiau, F., Jordon, J., Cohen, S., Elliott, A., Geddes, J., Mole, C., Rangel-Smith, C., and Szpruch, L.
• College/School: College of Science and Engineering > School of Mathematics and Statistics > Statistics