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Watching the watchers: bias and vulnerability in remote proctoring
  software

Watching the watchers: bias and vulnerability in remote proctoring software

6 May 2022
Ben Burgess
Avi Ginsberg
E. Felten
Shaanan N. Cohney
ArXivPDFHTML

Papers citing "Watching the watchers: bias and vulnerability in remote proctoring software"

13 / 13 papers shown
Title
Examining the Examiners: Students' Privacy and Security Perceptions of
  Online Proctoring Services
Examining the Examiners: Students' Privacy and Security Perceptions of Online Proctoring Services
David G. Balash
Dongkun Kim
Darikia Shaibekova
Rahel A. Fainchtein
Micah Sherr
Adam J. Aviv
28
41
0
10 Jun 2021
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities
Shaanan N. Cohney
Ross Teixeira
Anne Kohlbrenner
Arvind Narayanan
M. Kshirsagar
Yan Shvartzshnaider
M. Sanfilippo
33
11
0
10 Dec 2020
Understanding bias in facial recognition technologies
Understanding bias in facial recognition technologies
David Leslie
94
53
0
05 Oct 2020
On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
CVBM
AAML
101
66
0
07 Feb 2020
RetinaFace: Single-stage Dense Face Localisation in the Wild
RetinaFace: Single-stage Dense Face Localisation in the Wild
Jiankang Deng
Jiaxin Guo
Yuxiang Zhou
Jinke Yu
I. Kotsia
Stefanos Zafeiriou
CVBM
3DH
84
593
0
02 May 2019
Characterizing the Variability in Face Recognition Accuracy Relative to
  Race
Characterizing the Variability in Face Recognition Accuracy Relative to Race
S. KrishnapriyaK.
Kushal Vangara
Michael C. King
Vítor Albiero
Kevin W. Bowyer
CVBM
38
89
0
15 Apr 2019
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
J. Hernandez-Ortega
Javier Galbally
Julian Fierrez
Rudolf Haraksim
Laurent Beslay
CVBM
63
138
0
03 Apr 2019
Deep Learning for Face Recognition: Pride or Prejudiced?
Deep Learning for Face Recognition: Pride or Prejudiced?
Shruti Nagpal
Maneet Singh
Richa Singh
Mayank Vatsa
FaML
56
75
0
02 Apr 2019
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Jiaxin Guo
Jiankang Deng
Niannan Xue
Stefanos Zafeiriou
CVBM
60
60
0
05 Dec 2018
VGGFace2: A dataset for recognising faces across pose and age
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao
Li Shen
Weidi Xie
Omkar M. Parkhi
Andrew Zisserman
CVBM
95
2,630
0
23 Oct 2017
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
Ira Kemelmacher-Shlizerman
S. M. Seitz
Daniel Miller
Evan Brossard
CVBM
79
861
0
02 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
370
13,143
0
12 Mar 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
241
8,402
0
28 Nov 2014
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