( en | de | ru )

 

Disambiguation of "McKenna, Ryan"

Author of the publication

copydeleteadd this publication to your clipboard
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data.

, , , , and . CoRR, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Peter McKenna

Judith Ryan

Aisling Ryan

Ryan Beveridge

Lawrence John Ryan

 

Other publications of authors with the same name

ϵKTELO: A Framework for Defining Differentially Private Computations., , , , , , and . ACM Trans. Database Syst., 45 (1): 2:1-2:44 (2020)Benchmarking Differentially Private Synthetic Data Generation Algorithms., , , , and . CoRR, (2021)Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data., , , , and . CoRR, (2024)AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data., , , and . Proc. VLDB Endow., 15 (11): 2599-2612 (2022)HDMM: Optimizing error of high-dimensional statistical queries under differential privacy., , , and . CoRR, (2021)(Amplified) Banded Matrix Factorization: A unified approach to private training., , , , , , and . CoRR, (2023)Winning the NIST Contest: A scalable and general approach to differentially private synthetic data., , and . CoRR, (2021)Fair Decision Making using Privacy-Protected Data., , , , , and . CoRR, (2019)#8712;: A Framework for Defining Differentially-Private Computations., , , , , , and . SIGMOD Record, 48 (1): 15-22 (2019)Optimizing error of high-dimensional statistical queries under differential privacy., , , and . Proc. VLDB Endow., 11 (10): 1206-1219 (2018)