Membership Inference Attack

A Membership Inference Attack is a security threat against machine learning models where an attacker infers whether a specific data point was part of the training set by observing the model's prediction behavior on that data point. This attack not only highlights privacy risks associated with the training data but can also expose sensitive information. In the field of computer vision, such attacks can help assess the risk of data leakage from models and improve system security.