Machine learning (ML) models cannot neglect risks to security, privacy, and fairness.
Several defenses have been proposed to mitigate such risks. When a defense is effective in …

Post-processing mitigation techniques for group fairness generally adjust the decision
threshold of a base model in order to improve fairness. Methods in this family exhibit several …