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RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on
  Deep Learning-based Video Compression

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression

18 March 2022
Jung-Woo Chang
Mojan Javaheripi
Seira Hidano
F. Koushanfar
ArXivPDFHTML

Papers citing "RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression"

4 / 4 papers shown
Title
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
122
37
0
05 Oct 2021
A Unified End-to-End Framework for Efficient Deep Image Compression
A Unified End-to-End Framework for Efficient Deep Image Compression
Jiaheng Liu
Guo Lu
Zhihao Hu
Dong Xu
44
107
0
09 Feb 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
61
264
0
30 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
284
5,835
0
08 Jul 2016
1