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Steganabara
The main features of quangntenemy/steganabara are: Steganalysis Tools.
Projects with overlapping indexed features include: beafn28/stegatoolkit — StegaToolkit es una aplicación web de análisis forense y esteganografía que permite ocultar y extraer mensajes en… bolin-chen/audio-steganalysis-cnn — An audio steganalysis method based on CNN in the time domain. brijeshiitg/pytorch-implementation-of-srnet — This is an unofficial implementation of paper: "Deep Residual Network for Steganalysis of Digital Images" The model… caenorst/yenet-pytorch — Pytorch implementation of "Deep Learning Hierarchical Representations for Image Steganalysis" by Jian Ye, Jiangqun Ni… chenlang2018/breakingsteganalysisgan — Towards Breaking Audio Steganalysis with Generative Adversarial Network 1. Pytorch v0.4.1 2. CUDA preferred 3. Python… b3dk7/stegexpose — StegExpose.
StegaToolkit es una aplicación web de análisis forense y esteganografía que permite ocultar y extraer mensajes en imágenes, realizar OCR, analizar metadatos EXIF, detectar modificaciones (ELA), dividir por canales RGB y mucho más. Ideal para pentesters, investigadores forenses y entusiastas de…
An audio steganalysis method based on CNN in the time domain.
This is an unofficial implementation of paper: "Deep Residual Network for Steganalysis of Digital Images" The model can be tested using the file test.py The tensorflow code of the same can be found at: http://dde.binghamton.edu/download/feature_extractors/