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Rachel Cummings — most-cited papers & profile · Cybersecurity

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Rachel Cummings

13 papers · 0 citations

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Most-cited papers

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
2026
Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning
2025
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
2025
Advances and Open Problems in Federated Learning
2019
Attribute Privacy: Framework and Mechanisms
2020
"I need a better description'': An Investigation Into User Expectations For Differential Privacy
2021
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
2023
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
2023
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
2024
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
2024

Top co-authors

Gabriel Kaptchuk · 3 David Evans · 2 Elissa Redmiles · 2 Gautam Kamath · 2 Li Xiong · 2 Lucas Rosenblatt · 2 Mary Anne Smart · 2 Nicolas Papernot · 2 Olga Ohrimenko · 2 Peter Kairouz · 2 Priyanka Nanayakkara · 2 Roxana Geambasu · 2

Topics

cs.CR cs.LG Privacy cs.CY cs.HC cs.CL stat.ML cs.DS Adversarial ML