Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Arun Ross"'
Autor:
Aidan Boyd, Shivangi Yadav, Thomas Swearingen, Andrey Kuehlkamp, Mateusz Trokielewicz, Eric Benjamin, Piotr Maciejewicz, Dennis Chute, Arun Ross, Patrick Flynn, Kevin Bowyer, Adam Czajka
Publikováno v:
IEEE Access, Vol 8, Pp 136570-136593 (2020)
Post-mortem biometrics entails utilizing the biometric data of a deceased individual for determining or verifying human identity. Due to fundamental biological changes that occur in a person's biometric traits after death, post-mortem data can be sig
Externí odkaz:
https://doaj.org/article/41ee25edcd884e8fb09c7a57634ea7fd
Autor:
Denton Bobeldyk, Arun Ross
Publikováno v:
IEEE Access, Vol 7, Pp 7905-7919 (2019)
Recent research has explored the possibility of automatically deducing information, such as gender, age, and race, of an individual from their biometric data. While the face modality has been extensively studied in this regard, the iris modality less
Externí odkaz:
https://doaj.org/article/5196eec2392f40f8a2c80277c1bf0505
Publikováno v:
IEEE Access, Vol 7, Pp 99735-99745 (2019)
Privacy concerns in the modern digital age have prompted researchers to develop techniques that allow users to selectively suppress certain information in collected data while allowing for other information to be extracted. In this regard, semi-adver
Externí odkaz:
https://doaj.org/article/0b6baa00749f490ab56178325484ecdc
Publikováno v:
IEEE Access, Vol 6, Pp 18848-18855 (2018)
Iris recognition refers to the automated process of recognizing individuals based on their iris patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for biometric recognition. The textural nuances of an individual's
Externí odkaz:
https://doaj.org/article/2861622c096644ee80f9f8e55fd563d6
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Externí odkaz:
https://doaj.org/article/3bfbec36fa8c4dc58d77692dc1f47c36
Autor:
Russell Brewer, Bryce Westlake, Thomas Swearingen, Stephen Patterson, David Bright, Arun Ross, Katie Logos, Dana Michalski
This paper demonstrates how biometric features can be extracted from people in child sexual abuse material (CSAM) and examined using social network analysis to reveal important patterns across seized media files. Using an automated software system pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85515203dcfad2a1508d55be9455d53d
https://doi.org/10.52922/ti78948
https://doi.org/10.52922/ti78948
Publikováno v:
AI & SOCIETY. 38:733-745
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e8d5764443542c4d98e45c2cc78e97
https://doi.org/10.1007/s00146-022-01473-4
https://doi.org/10.1007/s00146-022-01473-4
Autor:
Kathryn Wheeler, Michael Dietze, David LeBauer, Jody Peters, Andrew D. Richardson, R. Quinn Thomas, Kai Zhu, Uttam Bhat, Stephan Munch, Raphaela Floreani Buzbee, Min Chen, Benjamin Goldstein, Jessica S. Guo, Dalei Hao, Chris Jones, Mira Kelly-Fair, Haoran Liu, Charlotte Malmborg, Naresh Neupane, Debasmita Pal, Arun Ross, Vaughn Shirey, Yiluan Song, McKalee Steen, Eric A. Vance, Whitney M. Woelmer, Jacob Wynne, Luke Zachmann
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c58e381008aaf77080a3c2a8e56ed003
https://doi.org/10.2139/ssrn.4357147
https://doi.org/10.2139/ssrn.4357147
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23920ad0d44fa04ae3887c89ad4a36f0
https://doi.org/10.1109/icpr56361.2022.9956535
https://doi.org/10.1109/icpr56361.2022.9956535
Autor:
Sudipta Banerjee, Johannes M. Bauer, Arun Ross, Ruth Shillair, Thomas Swearingen, Thomas J. Holt
Publikováno v:
Social Science Computer Review. 40:914-932
Social scientists have long been interested in the motives of hackers, particularly financially motivated attackers. This article analyzes web defacements, a less studied and more public form of cyberattack, in which the content of a web page is deli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf8c3c7645d5d364ad45b8dd265e718
https://doi.org/10.1177/0894439321994234
https://doi.org/10.1177/0894439321994234