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1811.01629
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On the Transferability of Adversarial Examples Against CNN-Based Image Forensics
5 November 2018
Mauro Barni
Kassem Kallas
Ehsan Nowroozi
B. Tondi
AAML
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Papers citing
"On the Transferability of Adversarial Examples Against CNN-Based Image Forensics"
10 / 10 papers shown
Title
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization
Ehsan Nowroozi
Mohammadreza Mohammadi
Pargol Golmohammadi
Yassine Mekdad
Mauro Conti
Selcuk Uluagac
AAML
SILM
82
14
0
11 Sep 2022
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
Demystifying the Transferability of Adversarial Attacks in Computer Networks
Ehsan Nowroozi
Yassine Mekdad
Mohammad Hajian Berenjestanaki
Mauro Conti
Abdeslam El Fergougui
AAML
100
35
0
09 Oct 2021
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs
Xinwei Zhao
Matthew C. Stamm
AAML
49
4
0
26 Jan 2021
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
Yongwei Wang
Xin Ding
Li Ding
Rabab Ward
Z. J. Wang
AAML
41
21
0
29 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Ehsan Nowroozi
Ali Dehghantanha
R. Parizi
K. Choo
AAML
69
73
0
19 Oct 2020
Adversarial Attack on Deep Learning-Based Splice Localization
Andras Rozsa
Zheng Zhong
Terrance E. Boult
AAML
43
4
0
17 Apr 2020
Media Forensics and DeepFakes: an overview
L. Verdoliva
112
556
0
18 Jan 2020
SpoC: Spoofing Camera Fingerprints
D. Cozzolino
Justus Thies
Andreas Rossler
Matthias Nießner
L. Verdoliva
87
39
0
27 Nov 2019
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples
Mauro Barni
Ehsan Nowroozi
B. Tondi
Bowen Zhang
AAML
60
17
0
25 Oct 2019
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