TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK

Master's

Saved in:

Bibliographic Details
Main Author:	VICTOR MICHEL THEODORE MASIAK
Other Authors:	COMPUTER SCIENCE
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	MACHINE LEARNING, PRIVACY LEAKAGE, DATASET PRUNING, ATTACK, MEMBERSHIP INFERENCE, PRIVACY METER,
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/237691
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-237691
record_format	dspace
spelling	sg-nus-scholar.10635-2376912023-02-28T18:01:19Z TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK VICTOR MICHEL THEODORE MASIAK COMPUTER SCIENCE Reza Shokri MACHINE LEARNING, PRIVACY LEAKAGE, DATASET PRUNING, ATTACK, MEMBERSHIP INFERENCE, PRIVACY METER, Master's MASTER OF SCIENCE (RSH-SOC) 2023-02-28T18:01:19Z 2023-02-28T18:01:19Z 2022-12-05 Thesis VICTOR MICHEL THEODORE MASIAK (2022-12-05). TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/237691 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	MACHINE LEARNING, PRIVACY LEAKAGE, DATASET PRUNING, ATTACK, MEMBERSHIP INFERENCE, PRIVACY METER,
spellingShingle	MACHINE LEARNING, PRIVACY LEAKAGE, DATASET PRUNING, ATTACK, MEMBERSHIP INFERENCE, PRIVACY METER, VICTOR MICHEL THEODORE MASIAK TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
description	Master's
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE VICTOR MICHEL THEODORE MASIAK
format	Theses and Dissertations
author	VICTOR MICHEL THEODORE MASIAK
author_sort	VICTOR MICHEL THEODORE MASIAK
title	TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
title_short	TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
title_full	TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
title_fullStr	TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
title_full_unstemmed	TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK
title_sort	toward a better understanding of privacy leakage in machine learning, using dataset pruning attack
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/237691
_version_	1759852897056587776

TOWARD A BETTER UNDERSTANDING OF PRIVACY LEAKAGE IN MACHINE LEARNING, USING DATASET PRUNING ATTACK

Similar Items