Publication:

Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications

Date

2024
Proceedings Paper
https://doi.org/10.1109/CVPRW63382.2024.00217
Simple item page Full metadata Statistics
 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-3792-5026
cris.virtual.orcid0000-0002-9569-9373
cris.virtualsource.department7db3840f-300f-4cd3-9f87-715eac1a46ae
cris.virtualsource.department1a726932-beb2-4302-94c5-a7ab5d05ce6c
cris.virtualsource.orcid7db3840f-300f-4cd3-9f87-715eac1a46ae
cris.virtualsource.orcid1a726932-beb2-4302-94c5-a7ab5d05ce6c
dc.contributor.authorLeroux, Sam
dc.contributor.authorVanassche, Stijn
dc.contributor.authorSimoens, Pieter
dc.contributor.imecauthorLeroux, Sam
dc.contributor.imecauthorVanassche, Stijn
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.orcidimecLeroux, Sam::0000-0003-3792-5026
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.date.accessioned2025-03-07T09:03:01Z
dc.date.available2025-03-06T20:47:31Z
dc.date.available2025-03-07T09:03:01Z
dc.date.issued2024
dc.description.wosFundingTextThis work was funded by the AI Research Program from the Flemish Government (AI Flanders). The authors declare that there were no other sources of funding or competing interests.
dc.identifier.doi10.1109/CVPRW63382.2024.00217
dc.identifier.eisbn979-8-3503-6547-4
dc.identifier.issn2160-7508
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45351
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage2121
dc.source.conferenceIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.source.conferencedate2024-06-17
dc.source.conferencelocationSeattle
dc.source.endpage2130
dc.source.journal/
dc.source.numberofpages10
dc.title

Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications

dc.typeProceedings paper
dspace.entity.typePublication
Files

Original bundle

Name:
8568_acc.pdf
Size:
2.3 MB
Format:
Adobe Portable Document Format
Description:
Accepted
Download
Name:
8568.pdf
Size:
2.34 MB
Format:
Adobe Portable Document Format
Description:
Published
Download
Publication available in collections:
Conference contributions