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McKenna, Ryan

  1. Graphical-model based estimation and inference for differential privacy
    2019/01/26 by McKenna, Ryan, Sheldon, Daniel, Miklau, Gerome · 9 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. VaultGemma: A Differentially Private Gemma Model
    2025/10/15 by Sinha, Amer, Mesnard, Thomas, McKenna, Ryan +18 · 4 voices · 2 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  3. AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data
    2022/01/29 by Ryan M. McKenna, Brett Mullins, McKenna, Ryan +5 · 10 citations
    Computer Science · #Cryptography and Data Security #Databases (cs.DB) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  4. Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
    2021/08/11 by Ryan M. McKenna, McKenna, Ryan, Gerome Miklau +3 · 7 citations
    Computer Science · Decision Sciences · Engineering · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Probability and Risk Models #Vehicular Ad Hoc Networks (VANETs)
  5. Benchmarking Differentially Private Synthetic Data Generation Algorithms
    2021/12/16 by Yuchao Tao, Tao, Yuchao, Ryan M. McKenna +7 · 7 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Advanced Data Storage Technologies
  6. Fine-Tuning Large Language Models with User-Level Differential Privacy
    2024/07/10 by Zachary Charles, Charles, Zachary, Arun Ganesh +11 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  7. (Amplified) Banded Matrix Factorization: A unified approach to private training
    2023/06/13 by Christopher A. Choquette-Choo, Arun Ganesh, Choquette-Choo, Christopher A. +11 · 5 citations
    Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  8. Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
    2023/02/02 by Koloskova, Anastasia, McKenna, Ryan, Charles, Zachary +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Permute-and-Flip: A new mechanism for differentially private selection
    2020/10/23 by McKenna, Ryan, Sheldon, Daniel · 2 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  10. Scaling Laws for Differentially Private Language Models
    2025/01/31 by Ryan McKenna, Ryan M. McKenna, McKenna, Ryan +23 · 2 voices · 5 citations
    Computer Science · #cs.LG #cs.CR
  11. Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML
    2024/05/24 by Ryan McKenna, McKenna, Ryan · 2 citations
    Computer Science · #Cooperative Communication and Network Coding #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Benchmarking Differentially Private Tabular Data Synthesis
    2025/04/18 by Chen, Kai, Li, Xiaochen, Gong, Chen +2 · 4 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  13. Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
    2024/03/12 by Miguel Fuentes, Fuentes, Miguel, Brett Mullins +7 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Cryptography and Data Security #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  14. Correlated Noise Mechanisms for Differentially Private Learning
    2025/06/09 by Krishna Pillutla, Pillutla, Krishna, Jalaj Upadhyay +21 · 3 citations
    Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Random Matrices and Applications