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oneshot-learning

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LittleAdversary is an adversarial machine learning library made to aid research into adversarial attacks and defences, with a primary focus on one-shot defences. It contains an end-to-end implementation of the proposed defence in 'Siamese Neural Networks for Adversarial Robustness ', complete with statistical analysis of the results.

  • Updated Aug 23, 2023
  • Jupyter Notebook

This project is an advanced facial verification application built using a Siamese Neural Network, offering a robust and secure method for identity verification. This project leverages the power of deep learning and computer vision techniques to provide reliable and accurate facial verification capabilities.

  • Updated May 29, 2023
  • Jupyter Notebook

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