Visible to the public Practical Strategies for Content-Adaptive Batch Steganography and Pooled Steganalysis

TitlePractical Strategies for Content-Adaptive Batch Steganography and Pooled Steganalysis
Publication TypeConference Paper
Year of Publication2017
AuthorsCogranne, R., Sedighi, V., Fridrich, J.
Conference Name2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
KeywordsAdaptation models, adaptive embedding, Additives, Batch steganography, composability, content-adaptive additive embedding schemes, content-adaptive batch steganography, Detectors, distortion, image filtering, image matching, likelihood ratio test, matched filter, matched filters, Metrics, omniscient Warden, optimal detection, payload spreading strategy, Payloads, pooled steganalysis, privacy, pubcrawl, single-image detector, statistical analysis, statistical model, steganography, steganography detection, Testing, Training

This paper investigates practical strategies for distributing payload across images with content-adaptive steganography and for pooling outputs of a single-image detector for steganalysis. Adopting a statistical model for the detector's output, the steganographer minimizes the power of the most powerful detector of an omniscient Warden, while the Warden, informed by the payload spreading strategy, detects with the likelihood ratio test in the form of a matched filter. Experimental results with state-of-the-art content-adaptive additive embedding schemes and rich models are included to show the relevance of the results.

Citation Keycogranne_practical_2017