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Ira Globus-Harris
Ira Globus-Harris
Graduate Student, University of Pennsylvania
Verified email at seas.upenn.edu - Homepage
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Cited by
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From usability to secure computing and back again
L Qin, A Lapets, F Jansen, P Flockhart, KD Albab, I Globus-Harris, ...
Fifteenth Symposium on Usable Privacy and Security ({SOUPS} 2019), 191-210, 2019
272019
Improved differentially private analysis of variance
M Swanberg, I Globus-Harris, I Griffith, A Ritz, A Groce, A Bray
Proceedings on Privacy Enhancing Technologies 2019 (3), 2019
232019
An algorithmic framework for bias bounties
I Globus-Harris, M Kearns, A Roth
2022 ACM Conference on Fairness, Accountability, and Transparency, 1106-1124, 2022
192022
Multicalibration as Boosting for Regression
I Globus-Harris, D Harrison, M Kearns, A Roth, J Sorrell
arXiv preprint arXiv:2301.13767, 2023
122023
Nonparametric differentially private confidence intervals for the median
J Drechsler, I Globus-Harris, A McMillan, J Sarathy, A Smith
Journal of Survey Statistics and Methodology 10 (3), 804-829, 2022
112022
Lexicographically Fair Learning: Algorithms and Generalization
E Diana, W Gill, I Globus-Harris, M Kearns, A Roth, S Sharifi-Malvajerdi
arXiv preprint arXiv:2102.08454, 2021
72021
Tutorial: Deploying Secure Multi-Party Computation on the Web Using JIFF
KD Albab, R Issa, A Lapets, P Flockhart, L Qin, I Globus-Harris
2019 IEEE Cybersecurity Development (SecDev), 3-3, 2019
72019
Multicalibrated regression for downstream fairness
I Globus-Harris, V Gupta, C Jung, M Kearns, J Morgenstern, A Roth
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 259-286, 2023
62023
Beyond the Frontier: Fairness Without Accuracy Loss
I Globus-Harris, M Kearns, A Roth
arXiv e-prints, arXiv: 2201.10408, 2022
52022
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
I Globus-Harris, D Harrison, M Kearns, P Perona, A Roth
arXiv preprint arXiv:2402.10795, 2024
2024
Non-parametric differentially private confidence intervals for the median
A Smith, J Drechsler, I Globus-Harris, A McMillan, J Sarathy
https://arxiv. org/abs/2106.10333, 2021
2021
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