Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

Understand

Deep neural networks (DNNs) are increasingly used in real-world applications (e.g.

• facial recognition).
• This has resulted in concerns about the fairness of decisions made by these models.
• Various notions and measures of fairness have been proposed to ensure that a decision-making system does not disproportionately harm (or benefit) particular subgroups of the population.