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Rethinking the Vulnerabilities of Face Recognition Systems:From a
  Practical Perspective

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective

21 May 2024
Jiahao Chen
Zhiqiang Shen
Yuwen Pu
Chunyi Zhou
Changjiang Li
Jiliang Li
Ting Wang
Shouling Ji
    AAML
ArXivPDFHTML

Papers citing "Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective"

3 / 3 papers shown
Title
Universal Adversarial Spoofing Attacks against Face Recognition
Universal Adversarial Spoofing Attacks against Face Recognition
Takuma Amada
Seng Pei Liew
Kazuya Kakizaki
Toshinori Araki
PICV
CVBM
AAML
44
9
0
02 Oct 2021
A Master Key Backdoor for Universal Impersonation Attack against
  DNN-based Face Verification
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification
Wei Guo
B. Tondi
Mauro Barni
AAML
16
19
0
01 May 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
254
5,833
0
08 Jul 2016
1