ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning

ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning

Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs)

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Bibliographic Details
Main Authors: Murakonda, Sasi Kumar, Shokri Reza
Other Authors: DEPARTMENT OF COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/176521
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Institution: National University of Singapore
Description
Summary:Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs)

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