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Query Efficient Cross-Dataset Transferable Black-Box Attack on Action
  Recognition

Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition

23 November 2022
Rohit Gupta
Naveed Akhtar
Gaurav Kumar Nayak
Ajmal Saeed Mian
M. Shah
    AAML
ArXivPDFHTML

Papers citing "Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition"

7 / 7 papers shown
Title
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
192
257
0
10 Nov 2021
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
125
37
0
05 Oct 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
256
621
0
21 May 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
280
1,982
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
198
422
0
01 Feb 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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