Verification of resistance to membership inference attacks, where an attacker determines if specific data was used in the model’s training set. Includes testing techniques to detect vulnerabilities based on confidence scores, overfitting patterns, shadow model training, and statistical analysis of predictions revealing the presence of sensitive records in the training dataset.