Verification of vulnerability to model inversion attacks, where an adversary reconstructs training data or private inputs from outputs, gradients, or intermediate representations. Covers testing techniques for model inversion, gradient-based reconstruction, and attacks exploiting overfitting or involuntary memorization of sensitive information in the trained model.