Normal view MARC view ISBD view

Panoptic defenses for secure computer vision

By:

Agarwal, Akshay

Contributor(s):

Material type: Text

Text

TextPublication details: New Delhi : IIIT-Delhi, ©2020Description: xxix, 216 p. Ill. 30 cmSubject(s):

Biometric Sensor, Fingerprint Databases, Iris Databases, Face Databases, CASIA-SURF, MSSPOOF, MagNet, IDAgender

DDC classification:

AGR-P REF CSE 2020

Online resources:

Click here to access online

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Thesis	IIITD Reference	Computer Science and Engineering	REF CSE 2020 (Browse shelf(Opens below))	Not for loan		TH0059

Total holds: 0

Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	REF CSE 2020 User identity linkage : data collection, dataset biases, method, control and application	REF CSE 2020 Modality guided representation learning for person re-identification	REF CSE 2020 Optimal inference algorithms for higher order MRF-MAP problems	REF CSE 2020 Panoptic defenses for secure computer vision	REF CSE 2020 Authenticated encryption for memory constrained devices	REF CSE 2021 Robust scene understanding	REF CSE 2021 On the secure design of multi-biometric template protection approaches for biometric authentication	Next

There are no comments on this title.

to post a comment.

Share

© 2024 IIIT-Delhi, library@iiitd.ac.in