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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
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Dual-Branch Convolutional Framework for Spatial and Frequency-Based Image Forgery Detection
Dual-Branch Convolutional Framework for Spatial and Frequency-Based Image Forgery Detection
Naman Tyagi
Riya Jain
136
0
0
05 Sep 2025
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
189
1
0
03 May 2024
Recent Advances in Digital Image and Video Forensics, Anti-forensics and
  Counter Anti-forensics
Recent Advances in Digital Image and Video Forensics, Anti-forensics and Counter Anti-forensics
Maryam Al-Fehani
Saif M. Al-Kuwari
DiffMAAML
184
5
0
03 Feb 2024
Diffusion models meet image counter-forensics
Diffusion models meet image counter-forensicsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Matías Tailanián
Marina Gardella
Álvaro Pardo
Pablo Musé
WIGM
286
8
0
22 Nov 2023
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
294
29
0
21 Mar 2023
Adversarial Attacks on Deep Learning Systems for User Identification
  based on Motion Sensors
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion SensorsInternational Conference on Neural Information Processing (ICONIP), 2020
Cezara Benegui
Radu Tudor Ionescu
AAML
152
9
0
02 Sep 2020
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
AAMLWIGM
212
394
0
24 Aug 2020
Increased-confidence adversarial examples for deep learning
  counter-forensics
Increased-confidence adversarial examples for deep learning counter-forensics
Wenjie Li
B. Tondi
R. Ni
Mauro Barni
AAML
178
2
0
12 May 2020
Printing and Scanning Attack for Image Counter Forensics
Printing and Scanning Attack for Image Counter Forensics
Hailey James
O. Gupta
D. Raviv
AAML
119
4
0
27 Apr 2020
Camera Trace Erasing
Camera Trace ErasingComputer Vision and Pattern Recognition (CVPR), 2020
C. Chen
Zhiwei Xiong
Xiaoming Liu
Feng Wu
171
23
0
16 Mar 2020
Media Forensics and DeepFakes: an overview
Media Forensics and DeepFakes: an overviewIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
L. Verdoliva
386
679
0
18 Jan 2020
SpoC: Spoofing Camera Fingerprints
SpoC: Spoofing Camera Fingerprints
D. Cozzolino
Justus Thies
Andreas Rossler
Matthias Nießner
L. Verdoliva
304
41
0
27 Nov 2019
On the Transferability of Adversarial Examples Against CNN-Based Image
  Forensics
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics
Mauro Barni
Kassem Kallas
Ehsan Nowroozi
B. Tondi
AAML
100
37
0
05 Nov 2018
1
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