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Analysis of adversarial attacks against CNN-based image forgery
  detectors

Analysis of adversarial attacks against CNN-based image forgery detectors

25 August 2018
Diego Gragnaniello
Francesco Marra
Giovanni Poggi
L. Verdoliva
    AAML
ArXivPDFHTML

Papers citing "Analysis of adversarial attacks against CNN-based image forgery detectors"

6 / 6 papers shown
Title
From Attack to Defense: Insights into Deep Learning Security Measures in
  Black-Box Settings
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
Firuz Juraev
Mohammed Abuhamad
Eric Chan-Tin
George K. Thiruvathukal
Tamer Abuhmed
AAML
41
0
0
03 May 2024
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy
  Perceptions
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
K. J. Kevin Feng
Nick Ritchie
Pia Blumenthal
Andy Parsons
Amy X. Zhang
40
15
0
21 Mar 2023
What makes fake images detectable? Understanding properties that
  generalize
What makes fake images detectable? Understanding properties that generalize
Lucy Chai
David Bau
Ser-Nam Lim
Phillip Isola
AAML
WIGM
32
300
0
24 Aug 2020
Media Forensics and DeepFakes: an overview
Media Forensics and DeepFakes: an overview
L. Verdoliva
44
539
0
18 Jan 2020
SpoC: Spoofing Camera Fingerprints
SpoC: Spoofing Camera Fingerprints
D. Cozzolino
Justus Thies
Andreas Rossler
Matthias Nießner
L. Verdoliva
33
38
0
27 Nov 2019
Recasting Residual-based Local Descriptors as Convolutional Neural
  Networks: an Application to Image Forgery Detection
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
D. Cozzolino
Giovanni Poggi
L. Verdoliva
101
324
0
14 Mar 2017
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