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Comparing the Robustness of Modern No-Reference Image- and Video-Quality
  Metrics to Adversarial Attacks
v1v2v3v4 (latest)

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

AAAI Conference on Artificial Intelligence (AAAI), 2023
10 October 2023
Anastasia Antsiferova
Khaled Abud
Aleksandr Gushchin
E. Shumitskaya
Sergey Lavrushkin
D. Vatolin
ArXiv (abs)PDFHTML

Papers citing "Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks"

9 / 9 papers shown
Title
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Jan Philipp Schneider
Pratik Singh Bisht
Ilya Chugunov
A. Kolb
Michael Moeller
Felix Heide
129
1
0
19 Sep 2025
One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
Binyan Xu
Xilin Dai
Di Tang
Kehuan Zhang
AAML
181
2
0
26 May 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Georgii Gotin
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
AAML
229
0
0
14 Jan 2025
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods
Egor Kovalev
Georgii Bychkov
Khaled Abud
A. Gushchin
Anna Chistyakova
Sergey Lavrushkin
D. Vatolin
Anastasia Antsiferova
AAML
326
3
0
18 Nov 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
Alexander Gushchin
Khaled Abud
Georgii Bychkov
E. Shumitskaya
Anna Chistyakova
Sergey Lavrushkin
Bader Rasheed
Kirill Malyshev
D. Vatolin
Anastasia Antsiferova
AAML
221
4
0
02 Aug 2024
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses
  for Super-Resolution?
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?
Egor Kashkarov
Egor Chistov
Ivan Molodetskikh
D. Vatolin
SupR
233
5
0
30 May 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video
  quality metrics
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
Victoria Leonenkova
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
247
4
0
15 Apr 2024
Adversarial purification for no-reference image-quality metrics:
  applicability study and new methods
Adversarial purification for no-reference image-quality metrics: applicability study and new methods
Aleksandr Gushchin
Anna Chistyakova
Vladislav Minashkin
Anastasia Antsiferova
D. Vatolin
188
3
0
10 Apr 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models
  with Gradient Norm Regularization
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm RegularizationComputer Vision and Pattern Recognition (CVPR), 2024
Yujia Liu
Chenxi Yang
Dingquan Li
Jianhao Ding
Tingting Jiang
201
12
0
18 Mar 2024
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