| xview: Objects in context in overhead imagery D Lam, R Kuzma, K McGee, S Dooley, M Laielli, M Klaric, Y Bulatov, ... arXiv preprint arXiv:1802.07856, 2018 | 213 | 2018 |
| Fairness through robustness: Investigating robustness disparity in deep learning V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 44 | 2021 |
| Proportionnet: Balancing fairness and revenue for auction design with deep learning K Kuo, A Ostuni, E Horishny, MJ Curry, S Dooley, P Chiang, T Goldstein, ... arXiv preprint arXiv:2010.06398, 2020 | 11 | 2020 |
| Robustness disparities in commercial face detection S Dooley, T Goldstein, JP Dickerson arXiv preprint arXiv:2108.12508, 2021 | 10 | 2021 |
| Preferencenet: Encoding human preferences in auction design with deep learning N Peri, M Curry, S Dooley, J Dickerson Advances in Neural Information Processing Systems 34, 17532-17542, 2021 | 9 | 2021 |
| Overhead detection: Beyond 8-bits and RGB E Mace, K Manville, M Barbu-McInnis, M Laielli, M Klaric, S Dooley arXiv preprint arXiv:1808.02443, 2018 | 7 | 2018 |
| Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness S Dooley, D Turjeman, JP Dickerson, EM Redmiles CHI Conference on Human Factors in Computing Systems, 1-21, 2022 | 6* | 2022 |
| Comparing human and machine bias in face recognition S Dooley, R Downing, G Wei, N Shankar, B Thymes, G Thorkelsdottir, ... arXiv preprint arXiv:2110.08396, 2021 | 5 | 2021 |
| Are Commercial Face Detection Models as Biased as Academic Models? S Dooley, GZ Wei, T Goldstein, JP Dickerson arXiv preprint arXiv:2201.10047, 2022 | 4 | 2022 |
| A Deep Dive into Dataset Imbalance and Bias in Face Identification V Cherepanova, S Reich, S Dooley, H Souri, M Goldblum, T Goldstein arXiv preprint arXiv:2203.08235, 2022 | 2 | 2022 |
| Robustness Disparities in Face Detection S Dooley, GZ Wei, T Goldstein, JP Dickerson Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 2 | 2022 |
| The affiliate matching problem: On labor markets where firms are also interested in the placement of previous workers S Dooley, JP Dickerson arXiv preprint arXiv:2009.11867, 2020 | 2 | 2020 |
| On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition R Sukthanker, S Dooley, JP Dickerson, C White, F Hutter, M Goldblum arXiv preprint arXiv:2210.09943, 2022 | 1 | 2022 |
| The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations M Knittel, S Dooley, JP Dickerson International Joint Conference on Artificial Intelligence, 2022 | 1 | 2022 |
| Can an Algorithm Be My Healthcare Proxy? DC McElfresh, S Dooley, Y Cui, K Griesman, W Wang, T Will, N Sehgal, ... Explainable AI in Healthcare and Medicine, 313-319, 2021 | 1 | 2021 |
| How Technology Impacts and Compares to Humans in Socially Consequential Arenas S Dooley arXiv preprint arXiv:2211.03554, 2022 | | 2022 |
| Topological Data Analysis for Word Sense Disambiguation M Rawson, S Dooley, M Bharadwaj, R Choudhary arXiv preprint arXiv:2203.00565, 2022 | | 2022 |
| Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021 A Goetzen, S Dooley, EM Redmiles arXiv preprint arXiv:2110.09437, 2021 | | 2021 |
| Robustness disparities in commercial face detection S Dooley, T Goldstein, JP Dickerson arXiv preprint arXiv:2108.12508, 2021 | | 2021 |
| Libraries’ Approaches to the Security of Public Computers S Dooley, M Rosenberg, E Sloate, S Shin, M Mazurek Symposium on Usable Privacy and Security (SOUPS), 5th Workshop on Inclusive …, 2020 | | 2020 |
