Second, they lack a specific focus on selecting a robust CA TE estimator.

While efforts have been made to explain computer vision models, these approaches often fall short of providing direct and human-understandable explanations.

Membership Inference Attacks (MIA) aim to infer whether a target data record has been utilized for model training or not.

The traditional approach of pixel-level alignment is ineffective for diffusion-processed frames because of iterative disruptions.