Machine Learning for Cryptography Simple Projects
Will be looked into futher
- Project One: Implementation of a Perceptron using MNIST dataset and basic Python/Numpy following Michael Nielson's model
- Project Two: Generation of adversarial images on Imagenet dataset
- Project Three: Benchmarking model performance on side-channel attack data (Perfweb)
- Project Four: Privacy Leakage analysis of location data through regression