Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Flavio P. Calmon"'
Autor:
Barbara A. Han, Subhabrata Majumdar, Flavio P. Calmon, Benjamin S. Glicksberg, Raya Horesh, Abhishek Kumar, Adam Perer, Elisa B. von Marschall, Dennis Wei, Aleksandra Mojsilović, Kush R. Varshney
Publikováno v:
Epidemics, Vol 27, Iss , Pp 59-65 (2019)
The recent Zika virus (ZIKV) epidemic in the Americas ranks among the largest outbreaks in modern times. Like other mosquito-borne flaviviruses, ZIKV circulates in sylvatic cycles among primates that can serve as reservoirs of spillover infection to
Externí odkaz:
https://doaj.org/article/c36a9d2dd3a64a5c87d96495c6260860
Autor:
Shahab Asoodeh, Flavio P. Calmon
Publikováno v:
Entropy, Vol 22, Iss 11, p 1325 (2020)
Information bottleneck (IB) and privacy funnel (PF) are two closely related optimization problems which have found applications in machine learning, design of privacy algorithms, capacity problems (e.g., Mrs. Gerber’s Lemma), and strong data proces
Externí odkaz:
https://doaj.org/article/fb646e8903ad4228a67f5974e9b5abf9
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:9347-9362
Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies by finding maximally correlated embeddings of pairs of random variables. CA has found applications in fields ranging from epidemiology t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8deba069837fa02e7b39cb16c4034eda
https://doi.org/10.1109/tpami.2021.3127870
https://doi.org/10.1109/tpami.2021.3127870
Publikováno v:
IEEE BITS the Information Theory Magazine. 1:45-56
The privacy risk has become an emerging challenge in both information theory and computer science due to the massive (centralized) collection of user data. In this paper, we overview privacy-preserving mechanisms and metrics from the lenses of inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef2498109837f5c3b4185cc4be5273d
https://doi.org/10.1109/mbits.2021.3108124
https://doi.org/10.1109/mbits.2021.3108124
Publikováno v:
2022 IEEE International Symposium on Information Theory (ISIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0038010d09e028b42ff7e6381d15d99b
https://doi.org/10.1109/isit50566.2022.9834493
https://doi.org/10.1109/isit50566.2022.9834493
Most differential privacy mechanisms are applied (i.e., composed) numerous times on sensitive data. We study the design of optimal differential privacy mechanisms in the limit of a large number of compositions. As a consequence of the law of large nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1b42f9fff1f1594b88fbe775d2c3b93
http://arxiv.org/abs/2207.00420
http://arxiv.org/abs/2207.00420
Publikováno v:
Journal of Communication and Information Systems. 35:171-180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d390a652d1b748bf7e243dc63fc1af9
https://doi.org/10.14209/jcis.2020.18
https://doi.org/10.14209/jcis.2020.18
Publikováno v:
Anais do XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93ee2cfe12e1a6f4cd4604b4ab88e1aa
https://doi.org/10.14209/sbrt.2022.1570824788
https://doi.org/10.14209/sbrt.2022.1570824788
Publikováno v:
ISIT
Disparate treatment occurs when a machine learning model produces different decisions for groups of individuals based on a sensitive attribute (e.g., age, sex). In domains where prediction accuracy is paramount, it could potentially be acceptable to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12686783df770e6a49ac79fb82a76cb8
https://doi.org/10.1109/isit45174.2021.9517723
https://doi.org/10.1109/isit45174.2021.9517723
Publikováno v:
ISIT
We investigate the local differential privacy (LDP) guarantees of a randomized privacy mechanism via its contraction properties. We first show that LDP constraints can be equivalently cast in terms of the contraction coefficient of the $\mathsf{E}_{\
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28868d7b0f2671693ddd0f4ebc8976ec
https://doi.org/10.1109/isit45174.2021.9517999
https://doi.org/10.1109/isit45174.2021.9517999