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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

21 November 2022
Yunfeng Diao
He-Nan Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
    AAML
ArXivPDFHTML

Papers citing "Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack"

6 / 6 papers shown
Title
Efficient and Effective Augmentation Strategy for Adversarial Training
Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
35
57
0
27 Oct 2022
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power
  of Geometric Transformations
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li
Abhishek Aich
Shitong Zhu
M. Salman Asif
Chengyu Song
A. Roy-Chowdhury
S. Krishnamurthy
AAML
97
37
0
05 Oct 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
205
668
0
19 Oct 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
122
197
0
24 Sep 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
175
271
0
03 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
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