Topic · Digital Media Forensic Detection

Most cited papers in Digital Media Forensic Detection

Digital Media Forensic Detection

What are the most cited papers in Digital Media Forensic Detection?

The most cited paper in Digital Media Forensic Detection is "SSD: Single Shot MultiBox Detector" (Wei Liu, Dragomir Anguelov, Dumitru Erhan et al., 2016), with 21,849 citations. Next come "GAN（Generative Adversarial Nets）" (21,691) and "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" (6,972).

Published TypeAccessCitations

Showing 50 of 99 papers. Every paper with more than 669 citations is listed.

Most cited papers, sortable by citations and release date
#	Paper
1	SSD: Single Shot MultiBox Detector Wei Liu, Dragomir Anguelov, Dumitru Erhan et al. · Lecture notes in computer science Conference paperOpen access	2016	21,849
2	GAN（Generative Adversarial Nets）柴田淳司 · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Open access	15 Oct 2017	21,691
3	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford, Luke Metz, Soumith Chintala · arXiv (Cornell University) PreprintOpen access	19 Nov 2015	6,972
4	Least Squares Generative Adversarial Networks Xudong Mao, Qing Li, Haoran Xie et al. Conference paper	Oct 2017	5,285
5	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al. Conference paper	Jun 2018	4,526
6	beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework Irina Higgins, Löıc Matthey, Arka Pal et al. · International Conference on Learning Representations Conference paper	24 Apr 2017	3,076
7	Best practices for convolutional neural networks applied to visual document analysis P. Simard, Don C. Steinkraus, John C. Platt Conference paper	12 Apr 2005	2,843
8	Techniques for data hiding Walter R. Bender, Daniel Gruhl, Norishige Morimoto et al. · IBM Systems Journal	1996	2,787
9	Reversible data hiding Zhicheng Ni, Yun-Qing Shi, Nirwan Ansari et al. · IEEE Transactions on Circuits and Systems for Video Technology	Mar 2006	2,653
10	Rich Models for Steganalysis of Digital Images Jessica Fridrich, Jan Kodovský · IEEE Transactions on Information Forensics and Security	24 May 2012	2,175
11	DualGAN: Unsupervised Dual Learning for Image-to-Image Translation Zili Yi, Hao Ran Zhang, Ping Tan et al. Conference paper	Oct 2017	2,128
12	MesoNet: a Compact Facial Video Forgery Detection Network Darius Afchar, Vincent Nozick, Junichi Yamagishi et al. Conference paperOpen access	Dec 2018	1,793
13	Visual cryptography Moni Naor, Adi Shamir · Lecture notes in computer science Conference paperOpen access	1995	1,772
14	Spectral Normalization for Generative Adversarial Networks Takeru Miyato, Toshiki Kataoka, Masanori Koyama et al. · arXiv (Cornell University) PreprintOpen access	15 Feb 2018	1,748
15	Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics Yuezun Li, Xin Yang, Pu Sun et al. Conference paper	Jun 2020	1,724
16	One Pixel Attack for Fooling Deep Neural Networks Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai · IEEE Transactions on Evolutionary Computation Open access	4 Jan 2019	1,724
17	Digital image steganography: Survey and analysis of current methods Abbas Cheddad, Joan V. Condell, Kevin J Curran et al. · Signal Processing	7 Sep 2009	1,715
18	Data augmentation for improving deep learning in image classification problem Agnieszka Mikołajczyk, Michał Grochowski Conference paper	May 2018	1,713
19	Hiding data in images by simple LSB substitution Chi-Kwong Chan, L.M. Cheng · Pattern Recognition	7 Nov 2003	1,697
20	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily Denton, Soumith Chintala, Arthur D. Szlam et al. · arXiv (Cornell University) PreprintOpen access	18 Jun 2015	1,659
21	Convolutional Radio Modulation Recognition Networks Timothy J. O’Shea, Johnathan Corgan, T. Charles Clancy · Communications in computer and information science Conference paperOpen access	2016	1,601
22	Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras, Timo Aila, Samuli Laine et al. · arXiv (Cornell University) PreprintOpen access	27 Oct 2017	1,552
23	Exploring steganography: Seeing the unseen Neil F. Johnson, Sushil Jajodia · Computer	Feb 1998	1,486
24	Expansion Embedding Techniques for Reversible Watermarking D.M. Thodi, Jeffrey J. Rodrı́guez · IEEE Transactions on Image Processing	28 Feb 2007	1,420
25	Digital Camera Identification From Sensor Pattern Noise J. Luka, Jessica Fridrich, Miroslav Goljan · IEEE Transactions on Information Forensics and Security	25 May 2006	1,321
26	Hide and seek: an introduction to steganography Niels Provos, Peter Honeyman · IEEE Security & Privacy	May 2003	1,296
27	Deepfake Video Detection Using Recurrent Neural Networks David Güera, Edward J. Delp Conference paper	Nov 2018	1,285
28	”Break Our Steganographic System”: The Ins and Outs of Organizing BOSS Patrick Bas, Tomáš Filler, Tomáš Pevný · Lecture notes in computer science Conference paper	2011	1,263
29	A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui, Zhenan Sun, Yonggang Wen et al. · IEEE Transactions on Knowledge and Data Engineering	23 Nov 2021	1,227
30	Malware images Lakshmanan Nataraj, Subramanian Karthikeyan, Grégoire Jacob et al. Conference paper	20 Jul 2011	1,225
31	Universal distortion function for steganography in an arbitrary domain Vojtěch Holub, Jessica Fridrich, Tomáš Denemark · EURASIP Journal on Information Security Open access	3 Jan 2014	1,220
32	Deepfakes and beyond: A Survey of face manipulation and fake detection Rubén Tolosana, Rubén Vera-Rodríguez, Julián Fiérrez et al. · Hispana	Dec 2020	1,195
33	High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning Sarah Erfani, Sutharshan Rajasegarar, Shanika A. Karunasekera et al. · Pattern Recognition Open access	14 Apr 2016	1,189
34	Lossless generalized-LSB data embedding M.U. Celik, Gaurav Sharma, Ahmet Murat Tekalp et al. · IEEE Transactions on Image Processing	17 Jan 2005	1,183
35	A steganographic method for images by pixel-value differencing Da-Chun Wu, Wen‐Hsiang Tsai · Pattern Recognition Letters	25 Mar 2003	1,147
36	Face X-Ray for More General Face Forgery Detection Lingzhi Li, Jianmin Bao, Ting Zhang et al. Conference paper	Jun 2020	1,136
37	Exposing Deep Fakes Using Inconsistent Head Poses Xin Yang, Yuezun Li, Siwei Lyu Conference paper	17 Apr 2019	1,134
38	HiDDeN: Hiding Data With Deep Networks Jiren Zhu, Russell Kaplan, Justin Johnson et al. · Lecture notes in computer science Conference paper	2018	1,129
39	CNN-Generated Images Are Surprisingly Easy to Spot… for Now Sheng-Yu Wang, Oliver Wang, Richard Zhang et al. Conference paper	Jun 2020	1,120
40	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Orest Kupyn, Tetiana Martyniuk, Junru Wu et al. Conference paper	Oct 2019	1,110
41	Ensemble Classifiers for Steganalysis of Digital Media Jan Kodovský, Jessica Fridrich, Vojtěch Holub · IEEE Transactions on Information Forensics and Security	17 Nov 2011	1,078
42	In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking Yuezun Li, Ming‐Ching Chang, Siwei Lyu Conference paper	Dec 2018	1,062
43	A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery Irene Amerini, Lamberto Ballan, Roberto Caldelli et al. · IEEE Transactions on Information Forensics and Security Open access	17 Mar 2011	1,046
44	Deep Residual Network for Steganalysis of Digital Images Mehdi Boroumand, Mo Chen, Jessica Fridrich · IEEE Transactions on Information Forensics and Security	24 Sep 2018	1,040
45	LSB matching revisited Jarno S. Mielikainen · IEEE Signal Processing Letters	12 Apr 2006	1,023
46	Using High-Dimensional Image Models to Perform Highly Undetectable Steganography Tomáš Pevný, Tomáš Filler, Patrick Bas · Lecture notes in computer science Conference paper	2010	1,022
47	An SVD-based watermarking scheme for protecting rightful ownership Ruizhen Liu, Tieniu Tan · IEEE Transactions on Multimedia	Mar 2002	1,001
48	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chunliang Li, Kihyuk Sohn, Jinsung Yoon et al. Conference paper	Jun 2021	999
49	Detection of Copy-Move Forgery in Digital Images Jessica Fridrich	2004	992
50	Lest we remember J. Alex Halderman, Seth David Schoen, Nadia Heninger et al. · Communications of the ACM	28 Apr 2009	982

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.