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Read-only archive of site from September 29, 2023.

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Visible to the public Deep Learning with Feature Reuse for JPEG Image Steganalysis

Submitted by aekwall on Mon, 11/09/2020 - 1:12pm
  • J-UNIWARD
  • 32-layer convolutional neural networks
  • bit per nonzero AC DCT coefficient
  • bottleneck layers
  • bpnzAC
  • conventional SCA-GFR method
  • detection error rate reduction
  • feature reuse
  • Gabor filters
  • Steganography
  • JPEG compressed image
  • JPEG image steganalysis
  • JPEG steganalysis methods
  • shared features
  • weak hidden information
  • XuNet method
  • Information Reuse and Security
  • computer architecture
  • CNN model
  • Compositionality
  • Transform coding
  • distortion
  • convolution
  • discrete cosine transforms
  • Image coding
  • data compression
  • convolutional neural nets
  • Training
  • deep learning
  • pubcrawl
  • Resiliency
  • learning (artificial intelligence)
  • feature extraction

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