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Classification, Object Detection and Adversarial Attack of Chinese Traffic Signs

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Adversarial-Traffic-Signs

Supplementary Material: Click this Dropbox link to download. It contains 3 files and you can place them into corresponding directories to run the code.

Contents

  • 1.CTSRD_Classification: Train a Chinese traffic sign classification model using CTSRD Dataset. It uses ResNet101 in Keras.
  • 2.DARTS-Attack-on-CTSRD: Modified DARTS pipeline, it can generate adversarial Chinese traffic signs.
  • 3.TT100K_ObjectDetection: Using an object detection model pre-trained by TT100K Dataset to do test of adversarial traffic signs in real world. It uses Faster R-CNN-ResNet101 in TensorFlow Object Detection API.
  • 4.Examples of Adversarial Traffic Signs: Some examples.

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Classification, Object Detection and Adversarial Attack of Chinese Traffic Signs

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  • Jupyter Notebook 99.5%
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