SoK: Unintended Interactions among Machine Learning Defenses and Risks
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 …
Several defenses have been proposed to mitigate such risks. When a defense is effective in …
FRAPP\'E: A Post-Processing Framework for Group Fairness Regularization
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 …
threshold of a base model in order to improve fairness. Methods in this family exhibit several …