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The Effect of Class Definitions on the Transferability of Adversarial
  Attacks Against Forensic CNNs

The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs

26 January 2021
Xinwei Zhao
Matthew C. Stamm
    AAML
ArXiv (abs)PDFHTML

Papers citing "The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs"

3 / 3 papers shown
Title
Making DeepFakes more spurious: evading deep face forgery detection via
  trace removal attack
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
Chi Liu
Huajie Chen
Tianqing Zhu
Jun Zhang
Wanlei Zhou
AAML
69
24
0
22 Mar 2022
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic
  Image Detectors
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors
Xinwei Zhao
Matthew C. Stamm
AAML
100
4
0
25 Apr 2021
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative
  Adversarial Network
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
Xinwei Zhao
Chen Chen
Matthew C. Stamm
GANAAML
36
4
0
23 Jan 2021
1