Mohammad Motiur Rahman

Enhancing face recognition privacy through the integration of differential privacy and convolutional neural network

The research offers an in-depth analysis of various DP techniques to construct a secure face recognition system employing a Convolutional Neural Network and face classifiers, and concludes that the DP blur with Logistic regression predictors provides the highest privacy, achieving excellent accuracy rates of 97% and 77% for these datasets.