GIMD-Net: An effective General-purpose Image Manipulation Detection Network, even under anti-forensic attacks

Mapping Intimacies ◽

10.1109/ijcnn52387.2021.9533733 ◽

2021 ◽

Author(s):

Gurinder Singh ◽

Puneet Goyal

Keyword(s):

General Purpose ◽

Image Manipulation ◽

Manipulation Detection

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Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection

IEEE Transactions on Information Forensics and Security ◽

10.1109/tifs.2018.2825953 ◽

2018 ◽

Vol 13 (11) ◽

pp. 2691-2706 ◽

Author(s):

Belhassen Bayar ◽

Matthew C. Stamm

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

General Purpose ◽

Image Manipulation ◽

New Approach ◽

Manipulation Detection

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Structuring Element-counting Approach for Morphological Pattern Spectrum-based Image Manipulation Detection

2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS) ◽

10.1109/isdcs.2019.8719260 ◽

2019 ◽

Author(s):

Kyosuke Kageyama ◽

Takeshi Kumaki ◽

Tetsushi Koide

Keyword(s):

Image Manipulation ◽

Morphological Pattern ◽

Pattern Spectrum ◽

Structuring Element ◽

Counting Approach ◽

Manipulation Detection

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Constrained R-Cnn: A General Image Manipulation Detection Model

2020 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme46284.2020.9102825 ◽

2020 ◽

Author(s):

Chao Yang ◽

Huizhou Li ◽

Fangting Lin ◽

Bin Jiang ◽

Hao Zhao

Keyword(s):

Image Manipulation ◽

Detection Model ◽

Manipulation Detection

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A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security - IH&MMSec '16 ◽

10.1145/2909827.2930786 ◽

2016 ◽

Author(s):

Belhassen Bayar ◽

Matthew C. Stamm

Keyword(s):

Deep Learning ◽

Image Manipulation ◽

Learning Approach ◽

Manipulation Detection

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Image manipulation detection using Edge-based segmentation and statistical property of wavelet coefficients

2014 International Conference on Electronics, Information and Communications (ICEIC) ◽

10.1109/elinfocom.2014.6914358 ◽

2014 ◽

Author(s):

Bo Gyu Jeong ◽

Il Kyu Eom

Keyword(s):

Image Manipulation ◽

Wavelet Coefficients ◽

Statistical Property ◽

Manipulation Detection

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Revealing image forgery through image manipulation detection

2015 Global Conference on Communication Technologies (GCCT) ◽

10.1109/gcct.2015.7342759 ◽

2015 ◽

Author(s):

Jayshri Charpe ◽

Antara Bhattacharya

Keyword(s):

Image Manipulation ◽

Image Forgery ◽

Manipulation Detection

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Data-Dependent Scaling of CNN’s First Layer for Improved Image Manipulation Detection

Digital Forensics and Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-030-69449-4_16 ◽

2021 ◽

pp. 208-223

Author(s):

Ivan Castillo Camacho ◽

Kai Wang

Keyword(s):

Image Manipulation ◽

Manipulation Detection

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L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection

Computer Vision – ECCV 2020 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-030-66823-5_16 ◽

2020 ◽

pp. 267-282

Author(s):

Abdul Muntakim Rafi ◽

Jonathan Wu ◽

Md. Kamrul Hasan

Keyword(s):

Model Identification ◽

Image Manipulation ◽

Camera Model ◽

Manipulation Detection

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Convolutional Neural Network Initialization Approaches for Image Manipulation Detection

Digital Signal Processing ◽

10.1016/j.dsp.2021.103376 ◽

2021 ◽

pp. 103376

Author(s):

Ivan Castillo Camacho ◽

Kai Wang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Manipulation ◽

Manipulation Detection

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Weakly Supervised Adaptation to Re-sizing for Image Manipulation Detection on Small Patches

Digital Forensics and Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-030-43575-2_8 ◽

2020 ◽

pp. 99-114

Author(s):

Ludovic Darmet ◽

Kai Wang ◽

François Cayre

Keyword(s):

Image Manipulation ◽

Weakly Supervised ◽

Manipulation Detection

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