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Generate adversarial examples for a facial recognition deep neural network.

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Sensitivity of deep learning facial recognition models to adversarial inputs

Fall 2018-2019

  • noise.py contains our scripts for adding noise to images
  • merge_training_set.py is used to merge noisy and non-noisy inputs for adversarial training
  • limit_training_set.py is used to limit the number of training images used to balance images per class
  • facial_landmarks/landmarks_nn.py stores our DNN used to perturb facial landmarks; it can be trained on a laptop

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Generate adversarial examples for a facial recognition deep neural network.

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