Richard Abishai

Implementing Unlearning of a class via Obfuscation in a MNIST digit classifier

Implementing Unlearning model on MNIST dataset

A Deep Learning Approach to Handwritten Digit Recognition,A large dataset of handwritten digits, Widely used for training and testing in the field of machine learning. Convolutional Neural Network, a deep learning algorithm, Particularly effective for image recognition tasks. Implementing Unlearning of a class via Obfuscation in a MNIST digit classifier (CNN trained to classify the MNIST digits)Develop a CNN model to accurately classify handwritten digits (0-9) from the MNIST dataset. Machine unlearning is crucial for privacy, compliance, and model maintenance. It involves the removal of specific data points or classes from a trained model. Machine unlearning can be effective but may require fine-tuning. Ensuring high accuracy for remaining classes post-unlearning is challenging but achievable.