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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

22 March 2022
Chi Liu
Huajie Chen
Tianqing Zhu
Jun Zhang
Wanlei Zhou
    AAML
ArXivPDFHTML

Papers citing "Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack"

5 / 5 papers shown
Title
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and
  Physiological Cues
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Zitong Yu
Rizhao Cai
Zhi Li
Wenhan Yang
Jingang Shi
Alex C. Kot
AAML
CVBM
34
32
0
10 Aug 2022
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in
  Frequency Domain
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Honggu Liu
Xiaodan Li
Wenbo Zhou
YueFeng Chen
Yuan He
Hui Xue
Weiming Zhang
Nenghai Yu
CVBM
157
358
0
02 Mar 2021
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Yihao Huang
Felix Juefei Xu
Qing-Wu Guo
Yang Liu
G. Pu
20
20
0
19 Sep 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
267
10,348
0
12 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
272
5,833
0
08 Jul 2016
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