False Rejection Rate
False Rejection Rate is a performance metric in behavioral authentication systems that quantifies the proportion of legitimate access attempts incorrectly denied by the system due to the failure in recognizing genuine user behavioral patterns.
458
Publications
25.3K
Citations
1.3K
Authors
491
Institutions
Publications per year
2017–2026
81
Variants
Frr
Parents
458
Deep neural networks for small footprint text-dependent speaker verification
Ehsan Variani, Xin Lei, Erik McDermott et al. · 2014 · 1.1K citations
1–5 of 458
1.3K
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Indraprastha Institute of Information Technology Delhi, India
5 publications · 564 citations
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1–5 of 1.3K
491
Stanford University
Stanford, United States
7 h-index
14 publications
1.3K citations
West Virginia University
Morgantown, United States
6 h-index
13 publications
1.1K citations

Xi'an Jiaotong University
Xi'an, China
6 h-index
25 publications
2.2K citations
University of Technology Malaysia
Johor Bahru, Malaysia
6 h-index
11 publications
171 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
18 publications
453 citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
15 publications
765 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
5 h-index
21 publications
551 citations

University of Victoria
Victoria, Canada
5 h-index
11 publications
879 citations
1–8 of 491
9 publications · 2.8K citations
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TPAMI · 7 publications · 1.5K citations
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7 publications · 501 citations
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Conference · 6 publications · 247 citations
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6 publications · 95 citations
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