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PUTWorkbench: Analysing Privacy in AI-intensive Systems
- Publication Year :
- 2019
-
Abstract
- AI intensive systems that operate upon user data face the challenge of balancing data utility with privacy concerns. We propose the idea and present the prototype of an open-source tool called Privacy Utility Trade-off (PUT) Workbench which seeks to aid software practitioners to take such crucial decisions. We pick a simple privacy model that doesn't require any background knowledge in Data Science and show how even that can achieve significant results over standard and real-life datasets. The tool and the source code is made freely available for extensions and usage.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1902.01580
- Document Type :
- Working Paper