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Breaking Temporal Consistency: Generating Video Universal Adversarial
  Perturbations Using Image Models

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models

17 November 2023
Heeseon Kim
Minji Son
Minbeom Kim
Myung-Joon Kwon
Changick Kim
    AAML
ArXivPDFHTML

Papers citing "Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models"

6 / 6 papers shown
Title
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Shashank Kapoor
Sanjay Surendranath Girija
Lakshit Arora
Dipen Pradhan
Ankit Shetgaonkar
Aman Raj
AAML
65
0
0
06 May 2025
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs
Linhao Huang
Xue Jiang
Zhiqiang Wang
Wentao Mo
Xi Xiao
Bo Han
Yongjie Yin
Feng Zheng
AAML
42
2
0
02 Jan 2025
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
117
37
0
05 Oct 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
278
1,939
0
09 Feb 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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