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RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on
  Deep Learning-based Video Compression
v1v2v3 (latest)

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

Network and Distributed System Security Symposium (NDSS), 2022
18 March 2022
Jung-Woo Chang
Mojan Javaheripi
Seira Hidano
F. Koushanfar
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based
  Wireless Communication Systems
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication SystemsNetwork and Distributed System Security Symposium (NDSS), 2023
Jung-Woo Chang
Ke Sun
Nasimeh Heydaribeni
Seira Hidano
Xinyu Zhang
F. Koushanfar
AAML
207
1
0
01 Nov 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video
  Compression
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Jung-Woo Chang
Nojan Sheybani
Shehzeen Samarah Hussain
Mojan Javaheripi
Seira Hidano
F. Koushanfar
AAML
115
2
0
04 Apr 2023
MALICE: Manipulation Attacks on Learned Image ComprEssion
MALICE: Manipulation Attacks on Learned Image ComprEssion
Kang Liu
Di Wu
Yi-Ren Wang
Dan Feng
Benjamin Tan
S. Garg
AAML
157
3
0
26 May 2022
1