Privacy-preserving learning from partially observed sensitive attributes: An approach based on graph isomorphism network

Simple item page
dc.contributor.authorSahu, Nobin Trinath
dc.date.accessioned2024-09-09T10:37:40Z
dc.date.available2024-09-09T10:37:40Z
dc.date.issued2024-05
dc.identifier.urihttp://hdl.handle.net/123456789/3643
dc.language.isoenen_US
dc.publisherIndian Institute of Technology (Indian School of Mines) Dhanbaden_US
dc.subjectPrioritize privacyen_US
dc.subjectCommunication mechanismen_US
dc.subjectGraph Isomorphism netwworken_US
dc.subjectDISTen_US
dc.subjectDS1305en_US
dc.subjectCSEen_US
dc.titlePrivacy-preserving learning from partially observed sensitive attributes: An approach based on graph isomorphism networken_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
Abstract.pdf
Size:
1.05 MB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
DS1305.pdf
Size:
38.83 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Monidipa Das