Literature DB >> 35176100

Correction: Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0238058.].

Entities:  

Year:  2022        PMID: 35176100      PMCID: PMC8853511          DOI: 10.1371/journal.pone.0264409

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


There are errors in the Funding statement. The publisher apologizes for the error. The correct Funding statement is as follows: This study was supported by Motorola Inc., BioLive, and FAPESP DejaVu (Grant #2017/12646-3) awarded to AR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. A Competing Interest statement is missing. The correct Competing Interest statement is as follows: The authors have read the journal’s policy and have the following competing interests: AR received a grant from Motorola Inc. There are no patents, products in development or marketed products associated with this research to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials. In the Author Contributions, “Investigation” should also be listed under Waldir R. Almeida’s contributions.
  1 in total

1.  Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function.

Authors:  Waldir R Almeida; Fernanda A Andaló; Rafael Padilha; Gabriel Bertocco; William Dias; Ricardo da S Torres; Jacques Wainer; Anderson Rocha
Journal:  PLoS One       Date:  2020-09-04       Impact factor: 3.240

  1 in total

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