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Adversarial Attacks against Face Recognition: A Comprehensive Study

Adversarial Attacks against Face Recognition: A Comprehensive Study

22 July 2020
Fatemeh Vakhshiteh
A. Nickabadi
Raghavendra Ramachandra
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks against Face Recognition: A Comprehensive Study"

7 / 7 papers shown
Title
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAI
FAtt
AAML
34
4
0
09 Nov 2022
State of the Art: Face Recognition
State of the Art: Face Recognition
Rubel Biswas
Pablo Blanco-Medina
CVBM
14
6
0
26 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
36
236
0
01 Aug 2021
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
54
65
0
07 Feb 2020
On adversarial patches: real-world attack on ArcFace-100 face
  recognition system
On adversarial patches: real-world attack on ArcFace-100 face recognition system
Mikhail Aleksandrovich Pautov
Grigorii Melnikov
Edgar Kaziakhmedov
Klim Kireev
Aleksandr Petiushko
CVBM
PICV
AAML
45
53
0
15 Oct 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
252
921
0
03 Dec 2014
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