Membership inference attack(black box, white box, and Transfer attack) on ML model (CIFAR 100 Dataset), Its for a university level project.

For this project, I am looking for someone to conduct a membership inference attack on a single ML model based on the CIFAR-100 dataset. This project will require to perform the attack using the three types of methods: black box, white box, and transfer attack. The results of the attack should be documented and presented in a way that is understandable to a university level audience as this is the university level project. It is important that the individual who carries out this project is familiar with the CIFAR-100 dataset, ML models, and methods for performing membership inference attacks. Having previous experience working with any variation of these topics is desirable but not required. The goal of this project is to evaluate the attack and identify potential weaknesses or areas for improvement.