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Towards Understanding the Adversarial Vulnerability of Skeleton-based
  Action Recognition

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

14 May 2020
Tianhang Zheng
Sheng Liu
Changyou Chen
Junsong Yuan
Baochun Li
K. Ren
    AAML
ArXivPDFHTML

Papers citing "Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition"

3 / 3 papers shown
Title
Adversarial Bone Length Attack on Action Recognition
Adversarial Bone Length Attack on Action Recognition
Nariki Tanaka
Hiroshi Kera
K. Kawamoto
AAML
13
13
0
13 Sep 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
Fast L1-Minimization Algorithms For Robust Face Recognition
Fast L1-Minimization Algorithms For Robust Face Recognition
A. Yang
Zihan Zhou
Arvind Ganesh
S. Shankar Sastry
Yi-An Ma
CVBM
65
265
0
21 Jul 2010
1