Rachel Cummings
Columbia University in the City of New York
H-index: 23
North America-United States
Top articles of Rachel Cummings
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Advancing differential privacy: Where we are now and future directions for real-world deployment | Rachel Cummings Damien Desfontaines David Evans Roxana Geambasu Yangsibo Huang | 2024/1/16 | |
Thompson Sampling Itself is Differentially Private | Tingting Ou Rachel Cummings Marco Avella | 2024/4/18 | |
Comment on “NIST SP 800-226: Guidelines for Evaluating Differential Privacy Guarantees” | Rachel Cummings Shlomi Hod Gabriel Kaptchuk Priyanka Nanayakkara Jayshree Sarathy | 2024/3 | |
An active learning framework for multi-group mean estimation | Abdellah Aznag Rachel Cummings Adam N Elmachtoub | 2023/11/2 | |
Integrating differential privacy and contextual integrity | arXiv preprint arXiv:2401.15774 | Sebastian Benthall Rachel Cummings | 2024/1/28 |
Differentially private synthetic control | Saeyoung Rho Rachel Cummings Vishal Misra | 2023/4/11 | |
Optimal data acquisition with privacy-aware agents | Rachel Cummings Hadi Elzayn Emmanouil Pountourakis Vasilis Gkatzelis Juba Ziani | 2023/2/8 | |
Centering policy and practice: Research gaps around usable differential privacy | Rachel Cummings Jayshree Sarathy | 2023/11/1 | |
Robust estimation under the Wasserstein distance | arXiv preprint arXiv:2302.01237 | Sloan Nietert Rachel Cummings Ziv Goldfeld | 2023/2/2 |
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning | Roy Rinberg Ilia Shumailov Rachel Cummings Nicolas Papernot | 2023/10/13 | |
What are the chances? explaining the epsilon parameter in differential privacy | Priyanka Nanayakkara Mary Anne Smart Rachel Cummings Gabriel Kaptchuk Elissa M Redmiles | 2023 | |
" I need a better description": An Investigation Into User Expectations For Differential Privacy | Journal of Privacy and Confidentiality | Rachel Cummings Gabriel Kaptchuk Elissa Redmiles | 2023/8/31 |
Challenges towards the next frontier in privacy | arXiv preprint arXiv:2304.06929 | Rachel Cummings Damien Desfontaines David Evans Roxana Geambasu Matthew Jagielski | 2023/4/14 |
Optimal local explainer aggregation for interpretable prediction | Proceedings of the AAAI Conference on Artificial Intelligence | Qiaomei Li Rachel Cummings Yonatan Mintz | 2022/6/28 |
Attribute privacy: Framework and mechanisms | Wanrong Zhang Olga Ohrimenko Rachel Cummings | 2022/6/21 | |
Outlier-robust optimal transport: Duality, structure, and statistical analysis | Sloan Nietert Ziv Goldfeld Rachel Cummings | 2022/5/3 | |
Mean estimation with user-level privacy under data heterogeneity | Advances in Neural Information Processing Systems | Rachel Cummings Vitaly Feldman Audra McMillan Kunal Talwar | 2022/12/6 |
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size | Wanrong Zhang Yajun Mei Rachel Cummings | 2022/5/3 | |
The privacy elasticity of behavior: Conceptualization and application | Inbal Dekel Rachel Cummings Ori Heffetz Katrina Ligett | 2022/7/4 | |
łI need a better descriptionž: An Investigation Into User Expectations For Differential Privacy | Rachel Cummings Gabriel Kaptchuk Elissa M Redmiles | 2021 |
Co-Authors
