Understanding Risks of Sharing Images in the Context of Deepfakes Technology

Madhisetty, S

Understanding Risks of Sharing Images in the Context of Deepfakes Technology

Madhisetty, S

Permalink

Publisher:: Springer Nature
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Networks and Systems, 2022, 360 LNNS, pp. 132-140
Issue Date:: 2022-01-01

Closed Access

	Filename	Description	Size
	Understanding Risks of Sharing Images in the Context of Deepfakes Technology.pdf	Published version	98.18 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Madhisetty, S
dc.date.accessioned	2023-04-10T23:05:26Z
dc.date.available	2023-04-10T23:05:26Z
dc.date.issued	2022-01-01
dc.identifier.citation	Lecture Notes in Networks and Systems, 2022, 360 LNNS, pp. 132-140
dc.identifier.isbn	9783030899110
dc.identifier.issn	2367-3370
dc.identifier.issn	2367-3389
dc.identifier.uri	http://hdl.handle.net/10453/169411
dc.description.abstract	Privacy may be understood as a social construct, sharing of images or videos via social media has become reasonably acceptable. At times, such sharing of photos is necessary for instance, an employee profile pictures, etc. Manipulation of any images with use of Deepfake technology is now available to the public. This paper elaborates the problems of privacy and explores how Deepfake technology could be used to create loss of privacy.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Lecture Notes in Networks and Systems
dc.relation.ispartofseries	Lecture Notes in Networks and Systems
dc.relation.isbasedon	10.1007/978-3-030-89912-7_11
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Understanding Risks of Sharing Images in the Context of Deepfakes Technology
dc.type	Conference Proceeding
utslib.citation.volume	360 LNNS
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-10T23:05:18Z
pubs.publication-status	Published
pubs.volume	360 LNNS

Abstract:

Privacy may be understood as a social construct, sharing of images or videos via social media has become reasonably acceptable. At times, such sharing of photos is necessary for instance, an employee profile pictures, etc. Manipulation of any images with use of Deepfake technology is now available to the public. This paper elaborates the problems of privacy and explores how Deepfake technology could be used to create loss of privacy.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169411