Collaborative Research: Excellence In Research: Computational Framework and Data Science for Identification
Collaborative Research: Excellence In Research: Computational Framework and Data Science for Identification
批准号:
1900087
负责人:
Mustafa Atay
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30
中文摘要
该项目将提高两所历史悠久的黑人学院和大学的数据科学能力:北卡罗来纳州AT州立大学和温斯顿-塞勒姆州立大学。这些机构将为学生提供研究生课程,并培养未来的劳动力。更确切地说,该项目旨在:(1)加强身份和数据科学技术方面的研究能力;(2)加强北卡罗来纳州AT&州立大学和温斯顿-塞勒姆州立大学参与身份和数据科学研究的能力;(3)让研究生和本科生,特别是代表性不足的少数群体成员和女性参与数据科学和身份研究; 4)加强北卡罗来纳州A& T计算机科学博士和硕士项目以及温斯顿-塞勒姆州立大学硕士项目,并加强计算机科学博士研究的渠道。身份是一个新兴的关键研究领域,部分原因是生活的数字化和随之而来的威胁。数据科学提供了帮助,为在网络空间和物理世界中识别和验证人员提供了新的机会,以执行身份验证和入侵检测等任务。该项目包括三个重点。第一个目标是加强现有的识别计算框架。这一目标还涉及扩展研究人员对单点登录WebID协议的增强,以允许将几乎任何身份验证技术纳入该协议,为其他目标的身份验证应用提供实验平台。Thrust II提出使用眼周生物识别技术进行身份验证和使用行为生物识别技术进行主动身份验证,Thrust III将减轻演示攻击。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project will enhance the data science capabilities and capacities at two historically black colleges and universities: North Carolina A&T State University and Winston-Salem State University. These institutions will provide graduate programs to their students and enable the future workforce. More precisely, the project aims 1) to enhance research capabilities in identity and data science and technology; 2) to enhance the capacity of North Carolina A&T State University and Winston-Salem State University to participate in identity and data-science research; 3) to involve graduate and undergraduate students, especially members of underrepresented minorities and females, in data science and identity research; and 4) to strengthen the North Carolina A&T computer science doctoral and Master's programs and the Winston-Salem State Master's program as well as to strengthen the pipeline to computer science doctoral studies.Identity is an emerging critical research field thanks in part to the digitization of life and the accompanying threats. Data science helps by opening new opportunities for identifying and verifying persons in both cyberspace and the physical world for such tasks as authentication and intrusion detection. The project involves three thrusts. Thrust I involves enhancing an existing computational framework for identification. This thrust also involves extending the investigators' enhancement of the single-sign-on WebID protocol to allow virtually any authentication technique to be incorporated into the protocol, providing a platform for experimenting with applications of authentication from the other thrusts. Thrust II proposes authentication using periocular biometrics and active authentication using behavioral biometrics, and Thrust III will mitigate presentation attacks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(9)
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DOI:
10.1109/icmla51294.2020.00049
发表时间:
2020-12
期刊:
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
影响因子:
--
作者:
[D. Deb;Mina Guirguis]
通讯作者:
D. Deb;Mina Guirguis
DOI:
10.1109/icmla51294.2020.00170
发表时间:
2020-12
期刊:
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)
影响因子:
--
作者:
[Tony Gwyn;Mustafa Atay;Roy Kaushik;A. Esterline]
通讯作者:
Tony Gwyn;Mustafa Atay;Roy Kaushik;A. Esterline
Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms
跨机器学习和深度学习算法评估种族对面部识别的影响
DOI:
10.3390/computers10090113
发表时间:
2021
期刊:
Computers
影响因子:
2.8
作者:
[Coe, James, Atay, Mustafa]
通讯作者:
Atay, Mustafa
DOI:
10.1109/southeastcon51012.2023.10115205
发表时间:
2023-04
期刊:
SoutheastCon 2023
影响因子:
--
作者:
[Megh Pudyel;Mustafa Atay]
通讯作者:
Megh Pudyel;Mustafa Atay
Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms
使用传统机器学习算法评估面部识别中的性别偏差
DOI:
10.1109/ssci50451.2021.9660186
发表时间:
2021
期刊:
IEEE Symposium Series on Computational Intelligence (SSCI
影响因子:
--
作者:
[Atay, Mustafa, Gipson, Hailey, Gwyn, Tony, Roy, Kaushik]
通讯作者:
Roy, Kaushik
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