3 citations · 3 across the 1 of their papers we have counts for
6 papers
Individual Fairness in Pipelines
Cynthia Dwork, Christina Ilvento, Meena Jagadeesan
It is well understood that a system built from individually fair components may not itself be individually fair. In this work, we investigate individual fairness under pipeline com…
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork, Christina Ilvento, Guy N. Rothblum +1
It is well understood that classification algorithms, for example, for deciding on loan applications, cannot be evaluated for fairness without taking context into account. We exami…
Implementing the Exponential Mechanism with Base-2 Differential Privacy
Christina Ilvento
Despite excellent theoretical support, Differential Privacy (DP) can still be a challenge to implement in practice. In part, this challenge is due to the concerns associated with t…
Multi-Category Fairness in Sponsored Search Auctions
Shuchi Chawla, Christina Ilvento, Meena Jagadeesan
Fairness in advertising is a topic of particular concern motivated by theoretical and empirical observations in both the computer science and economics literature. We examine the p…
Metric Learning for Individual Fairness
Christina Ilvento
There has been much discussion recently about how fairness should be measured or enforced in classification. Individual Fairness [Dwork, Hardt, Pitassi, Reingold, Zemel, 2012], whi…
Fairness Under Composition
Cynthia Dwork, Christina Ilvento
Algorithmic fairness, and in particular the fairness of scoring and classification algorithms, has become a topic of increasing social concern and has recently witnessed an explosi…