Steganography in Digital Media: Principles, Algorithms, and Applications

By Jessica J. Fridrich. 2009

784 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b6749876c0b6eedbd4a410ffc214e04bc415fa43

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Citations in the corpus

Hiding information in noise: fundamental limits of covert wireless communication (2015, background): “The proof is available in Chapter 13.2.1 of the review of pre-2009 work in digital steganography [1].”
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data (2020, background): “Image steganography and watermarking hide information into carrier images [16].”
Information Forensics: An Overview of the First Decade (2013, background): “Although we will not elaborate on steganalysis in the interest of paper length, interested readers may refer to the comprehensive textbook [5] and the rich literature on this topic.”
Limits of Reliable Communication with Low Probability of Detection on AWGN Channels (2012, background): “The sum α + β determines the performance of a hypothesis test [4].”
Reversible data hiding: Advances in the past two decades (2016, background): “Data hiding has received much attention from the research community in the past more than two decades [1], [2].”
Gibbs Construction in Steganography (2010, background): “The simulator will also inform the payload-limited sender about the potential improvement in statistical undetectability should the theoretical performance gap be closed.”
Rich Models for Steganalysis of Digital Images (2012, methodology): “The learning process is applied for a given stegochannel as defined in [15], which entails a specific steganographic algorithm, message source (payload size), and a sample of cover and stego images.”
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning (2020, methodology): “As quantitative measurement, we additionally use the Peak Signal to Noise Ratio (PSNR), a common metric in image processing [8], to measure the difference between the unmodified source image and the attacked image.”