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06/13/2023
Discrimination through Image Selection by Job Advertisers on Facebook
Targeted advertising platforms are widely used by job advertisers to rea...
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02/09/2023
Pushing the Boundaries of Private, Large-Scale Query Answering
We address the problem of efficiently and effectively answering large nu...
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02/08/2023
Fairness in Matching under Uncertainty
The prevalence and importance of algorithmic two-sided marketplaces has ...
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07/18/2022
Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest
Relevance estimators are algorithms used by major social media platforms...
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06/24/2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
Federated learning allows many devices to collaborate in the training of...
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09/30/2021
Robust Allocations with Diversity Constraints
We consider the problem of allocating divisible items among multiple age...
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04/09/2021
Auditing for Discrimination in Algorithms Delivering Job Ads
Ad platforms such as Facebook, Google and LinkedIn promise value for adv...
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04/20/2020
On the Data Fight Between Cities and Mobility Providers
E-Scooters are changing transportation habits. In an attempt to oversee ...
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12/18/2019
The power of synergy in differential privacy:Combining a small curator with local randomizers
Motivated by the desire to bridge the utility gap between local and trus...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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12/09/2019
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Political campaigns are increasingly turning to digital advertising to r...
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04/03/2019
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes
The enormous financial success of online advertising platforms is partia...
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04/03/2019
Preference-Informed Fairness
As algorithms are increasingly used to make important decisions pertaini...
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11/29/2018
The Power of The Hybrid Model for Mean Estimation
In this work we explore the power of the hybrid model of differential pr...
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07/11/2018
Differentially-Private "Draw and Discard" Machine Learning
In this work, we propose a novel framework for privacy-preserving client...
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03/27/2018