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Ryan McKenna — most-cited papers & profile · Cybersecurity
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Ryan McKenna
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Most-cited papers
MAPLE: Metadata Augmented Private Language Evolution
2026
Correlated Noise Mechanisms for Differentially Private Learning
2025
Benchmarking Differentially Private Tabular Data Synthesis
2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
2025
Scaling Laws for Differentially Private Language Models
2025
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models
2017
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy
2021
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
2021
Relaxed Marginal Consistency for Differentially Private Query Answering
2021
Benchmarking Differentially Private Synthetic Data Generation Algorithms
2021
(Amplified) Banded Matrix Factorization: A unified approach to private training
2023
Fine-Tuning Large Language Models with User-Level Differential Privacy
2024
Top co-authors
Gerome Miklau
· 5
Arun Ganesh
· 3
Christopher A. Choquette-Choo
· 3
Daniel Sheldon
· 3
H. Brendan McMahan
· 3
Keith Rush
· 3
Michael Hay
· 3
Abhradeep Thakurta
· 2
Ashwin Machanavajjhala
· 2
Krishna Pillutla
· 2
Peter Kairouz
· 2
Zachary Charles
· 2
Topics
cs.CR
cs.LG
cs.CL
cs.AI
Privacy
cs.DB
cs.DC