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handcrafted-features

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We propose a novel targeted adversarial attack for multiple well-known handcrafted pipelines and datasets. Our attack is able to match an image with any given target image which can be completely different from the original image. Our approach provides a trade-off between effectiveness and imperceptibility, and outperforms the baselines on both …

  • Updated Sep 27, 2022
  • Python

Code and results for one-class autoencoder verification of historical sketches using handcrafted features (Fourier energy, Shannon entropy, contrast, GLCM homogeneity, fractal dimension) and deep feature baselines (ResNet50, EfficientNet-V2). Companion repository to Ugail et al., PLOS ONE (2026).

  • Updated Apr 26, 2026
  • Jupyter Notebook

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