Spatial Steganalysis Based on Gradient-Based Neural Architecture Search

Xiaoqing Deng; Weiqi Luo; Yanmei Fang

doi:10.1007/978-3-030-90402-9_20

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Spatial Steganalysis Based on Gradient-Based Neural Architecture Search

Xiaoqing Deng Weiqi Luo Yanmei Fang

Year: 2021 Lecture notes in computer science Pages: 365-375 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-90402-9_20

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Keywords:

Softmax function Steganalysis Computer science Parameterized complexity Gradient descent Architecture Artificial intelligence Pattern recognition (psychology) Data mining Artificial neural network Network architecture Construct (python library) Feature vector Feature (linguistics) Steganography Embedding Algorithm Computer network

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Advanced Steganography and Watermarking Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Spatial Steganalysis Based on Gradient-Based Neural Architecture Search

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