Zobrazeno 1 - 10
of 524
pro vyhledávání: '"Ryan McKenna"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 13, Iss 1 (2023)
In this work we describe the High-Dimensional Matrix Mechanism (HDMM), a differentially private algorithm for answering a workload of predicate counting queries. HDMM represents query workloads using a compact implicit matrix representation and explo
Externí odkaz:
https://doaj.org/article/2b2d3aaec79144f6bc1349ecf7066b52
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 11, Iss 3 (2021)
We propose a general approach for differentially private synthetic data generation, that consists of three steps: (1) select a collection of low-dimensional marginals, (2) measure those marginals with a noise addition mechanism, and (3) generate synt
Externí odkaz:
https://doaj.org/article/dde4f43d674242f98e65be5d0ed38452
Autor:
Michael Hay, George Bissias, Ios Kotsogiannis, Dan Zhang, Gerome Miklau, Ryan McKenna, Ashwin Machanavajjhala
Publikováno v:
ACM Transactions on Database Systems. 45:1-44
The adoption of differential privacy is growing, but the complexity of designing private, efficient, and accurate algorithms is still high. We propose a novel programming framework and system, ϵ KTELO for implementing both existing and new privacy a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9950c5b793e4aa1f710bd626ffeb07d
https://doi.org/10.1145/3362032
https://doi.org/10.1145/3362032
We propose AIM, a new algorithm for differentially private synthetic data generation. AIM is a workload-adaptive algorithm within the paradigm of algorithms that first selects a set of queries, then privately measures those queries, and finally gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448bb631c3e491fd328fa0d50dfbb7d9
http://arxiv.org/abs/2201.12677
http://arxiv.org/abs/2201.12677
Autor:
Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau
Publikováno v:
ACM SIGMOD Record. 48:15-22
The adoption of differential privacy is growing but the complexity of designing private, efficient and accurate algorithms is still high. We propose a novel programming framework and system, ∈ktelo, for implementing both existing and new privacy al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec20ba57caebb023283abaa0b560b99
https://doi.org/10.1145/3371316.3371321
https://doi.org/10.1145/3371316.3371321
We propose a new mechanism to accurately answer a user-provided set of linear counting queries under local differential privacy (LDP). Given a set of linear counting queries (the workload) our mechanism automatically adapts to provide accuracy on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42a669636e8478d056d543c30555169c
http://arxiv.org/abs/2002.01582
http://arxiv.org/abs/2002.01582
Autor:
Lauren K Dunn, Khalid S Mohammad, Pierrick G J Fournier, C Ryan McKenna, Holly W Davis, Maria Niewolna, Xiang Hong Peng, John M Chirgwin, Theresa A Guise
Publikováno v:
PLoS ONE, Vol 4, Iss 9, p e6896 (2009)
Most patients with advanced breast cancer develop bone metastases, which cause pain, hypercalcemia, fractures, nerve compression and paralysis. Chemotherapy causes further bone loss, and bone-specific treatments are only palliative. Multiple tumor-se
Externí odkaz:
https://doaj.org/article/fd1a75935af24b0b96ad4654faa63aad
Autor:
Khalid S Mohammad, Carol G Chen, Guive Balooch, Elizabeth Stebbins, C Ryan McKenna, Holly Davis, Maria Niewolna, Xiang Hong Peng, Daniel H N Nguyen, Sophi S Ionova-Martin, John W Bracey, William R Hogue, Darren H Wong, Robert O Ritchie, Larry J Suva, Rik Derynck, Theresa A Guise, Tamara Alliston
Publikováno v:
PLoS ONE, Vol 4, Iss 4, p e5275 (2009)
During development, growth factors and hormones cooperate to establish the unique sizes, shapes and material properties of individual bones. Among these, TGF-beta has been shown to developmentally regulate bone mass and bone matrix properties. Howeve
Externí odkaz:
https://doaj.org/article/5700054de3104fc88c6016f76ab59b93