Hide and Seek: An Introduction to Steganography

By Niels Provos, Peter Honeyman. IEEE Security and Privacy, 2003

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Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation (2018, positive): “ted, although various techniques (e.g., blending backdoor with original image [9], improving trigger transparency [33]) have been applied. Our work is also related to the field of image steganography [8, 11, 22, 43, 47] in the sense that we bear a similar goal of adding secret information or code to”
An overview of image steganography (2005, background): “, “High capacity image steganographic model”, Visual Image Signal Processing, 147:03, June 2000 [21] Provos, N.”
Digital image steganography: Survey and analysis of current methods (2010, methodology): “Provos and Honeyman [3], at the University of Michigan, scrutinized three million images from popular websites looking for any trace of steganography.”
A Survey on Image Steganography and Steganalysis (2011, background): “As a result, the past decade has seen growing interests in researches on image steganography and image steganalysis [3, 4, 5, 6].”
Current status and key issues in image steganography: A survey (2014, positive): “The idea of data hiding or steganography was first introduced with the example of prisoner's secret message by Simmons in 1983 [1] [2] [3].”