157 citations · 157 across the 3 of their papers we have counts for
3 papers
cs.CY2024
Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing
Ryan Steed, Diana Qing, Zhiwei Steven Wu
As the U.S. Census Bureau implements its controversial new disclosure avoidance system, researchers and policymakers debate the necessity of new privacy protections for public stat…
cs.CY2020★ 157 cited
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed, Aylin Caliskan
Recent advances in machine learning leverage massive datasets of unlabeled images from the web to learn general-purpose image representations for tasks from image classification to…
cs.CY2020
Heuristic-Based Weak Learning for Automated Decision-Making
Ryan Steed, Benjamin Williams
Machine learning systems impact many stakeholders and groups of users, often disparately. Prior studies have reconciled conflicting user preferences by aggregating a high volume of…