Machine Learning with Membership Privacy using Adversarial Regularization

Machine Learning with Membership Privacy using Adversarial Regularization

10.1145/3243734.3243855

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Bibliographic Details
Main Authors:	Nasr, Milad, Shokri, Reza, Houmansadr, Amir
Other Authors:	DEPT OF COMPUTER SCIENCE
Format:	Conference or Workshop Item
Published:	ASSOC COMPUTING MACHINERY 2020
Subjects:	Science & Technology Technology Computer Science, Theory & Methods Engineering, Electrical & Electronic Computer Science Engineering Data privacy Machine learning Inference attacks Membership privacy Indistinguishability Min-max game Adversarial process
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/172810
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Institution:	National University of Singapore

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