However, evaluating whether or not these approximations can be trusted remains a challenge. Most approaches evaluate the posterior estimator only in expectation over the observation space.

MI can lead to the disclosure of highly sensitive information about the individual, e.g. that

The empirical risk function is the cornerstone of machine learning.

State-of-the-art object detection systems, e.g., SSD [