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Overcomplete Representations Against Adversarial Videos

Overcomplete Representations Against Adversarial Videos

8 December 2020
Shao-Yuan Lo
Jeya Maria Jose Valanarasu
Vishal M. Patel
    AAML
ArXivPDFHTML

Papers citing "Overcomplete Representations Against Adversarial Videos"

4 / 4 papers shown
Title
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
W. Wang
Caifeng Shan
L. Wang
AAML
91
0
0
21 Apr 2025
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus
  on Videos
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos
Xingxing Wei
Songping Wang
Huanqian Yan
AAML
21
15
0
03 Jan 2023
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
61
264
0
30 Nov 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1