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Defending Against Multiple and Unforeseen Adversarial Videos

Defending Against Multiple and Unforeseen Adversarial Videos

11 September 2020
Shao-Yuan Lo
Vishal M. Patel
    AAML
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Papers citing "Defending Against Multiple and Unforeseen Adversarial Videos"

13 / 13 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
Luu Anh Tuan
Caifeng Shan
Lei Wang
AAML
97
0
0
21 Apr 2025
Adversarially Robust Video Perception by Seeing Motion
Adversarially Robust Video Perception by Seeing Motion
Lingyu Zhang
Chengzhi Mao
Junfeng Yang
Carl Vondrick
VGen
AAML
44
2
0
13 Dec 2022
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
40
6
0
21 Nov 2022
Learning Feature Decomposition for Domain Adaptive Monocular Depth
  Estimation
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation
Shao-Yuan Lo
Wei Wang
Jim Thomas
Jingjing Zheng
Vishal M. Patel
Cheng-Hao Kuo
15
14
0
30 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and
  Zeroing the Patch
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
Ke Xu
Yao Xiao
Zhao-Heng Zheng
Kaijie Cai
Ramkant Nevatia
AAML
26
28
0
05 Jul 2022
Analysis and Extensions of Adversarial Training for Video Classification
Analysis and Extensions of Adversarial Training for Video Classification
K. A. Kinfu
René Vidal
AAML
30
13
0
16 Jun 2022
Exploring Adversarially Robust Training for Unsupervised Domain
  Adaptation
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation
Shao-Yuan Lo
Vishal M. Patel
AAML
30
8
0
18 Feb 2022
Temporal Shuffling for Defending Deep Action Recognition Models against
  Adversarial Attacks
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Jaehui Hwang
Huan Zhang
Jun-Ho Choi
Cho-Jui Hsieh
Jong-Seok Lee
AAML
19
5
0
15 Dec 2021
MultAV: Multiplicative Adversarial Videos
MultAV: Multiplicative Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
26
8
0
17 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp
  Adversarial Attacks
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
S. Feizi
AAML
81
60
0
05 Sep 2020
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
64
264
0
30 Nov 2018
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
77
221
0
30 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
291
3,110
0
04 Nov 2016
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