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RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition
  using a Mobile and Compact Printer

RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer

25 June 2022
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
    AAML
    CVBM
ArXivPDFHTML

Papers citing "RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer"

6 / 6 papers shown
Title
Region-Guided Attack on the Segment Anything Model (SAM)
Region-Guided Attack on the Segment Anything Model (SAM)
Xiaoliang Liu
Furao Shen
Jian Zhao
AAML
28
0
0
03 Jan 2025
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches
  on Face Recognition
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition
Xiaoliang Liu
Shen Furao
Jian Zhao
Changhai Nie
AAML
24
3
0
29 Nov 2023
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face
  Recognition using Neural Radiance Fields
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
Xiaoliang Liu
Shen Furao
Feng Han
Jian Zhao
Changhai Nie
AAML
28
0
0
29 Nov 2023
AdvBiom: Adversarial Attacks on Biometric Matchers
AdvBiom: Adversarial Attacks on Biometric Matchers
Debayan Deb
Vishesh Mistry
Rahul Parthe
AAML
CVBM
20
3
0
10 Jan 2023
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the
  Wild
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
Haibo Jin
Tianran Ouyang
Ling Shao
CVBM
67
122
0
08 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
1