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On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias

On the Robustness of Face Recognition Algorithms Against Attacks and Bias

7 February 2020
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
    CVBM
    AAML
ArXivPDFHTML

Papers citing "On the Robustness of Face Recognition Algorithms Against Attacks and Bias"

2 / 2 papers shown
Title
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial
  Examples Against Traffic Sign Recognition Systems
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia
Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
11
51
0
17 Jan 2022
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst
J. Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
21
114
0
02 Mar 2021
1