Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Zhuravlev Pavel"'
Autor:
Cumings-Menon, Ryan, Ashmead, Robert, Kifer, Daniel, Leclerc, Philip, Spence, Matthew, Zhuravlev, Pavel, Abowd, John M.
In "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Abowd et al. (2022) describe the concepts and methods used by the Disclosure Avoidance System (DAS) to produce formally private output in support of the 2020 Census data product rele
Externí odkaz:
http://arxiv.org/abs/2312.10863
Autor:
Jarmin, Ron S., Abowd, John M., Ashmead, Robert, Cumings-Menon, Ryan, Goldschlag, Nathan, Hawes, Michael B., Keller, Sallie Ann, Kifer, Daniel, Leclerc, Philip, Reiter, Jerome P., Rodríguez, Rolando A., Schmutte, Ian, Velkoff, Victoria A., Zhuravlev, Pavel
Publikováno v:
PNAS, October 13, 2023, Vol. 120, No. 43
The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to measure the disclosure risks and societal benefits of the published dat
Externí odkaz:
http://arxiv.org/abs/2310.09398
Autor:
Kifer, Daniel, Abowd, John M., Ashmead, Robert, Cumings-Menon, Ryan, Leclerc, Philip, Machanavajjhala, Ashwin, Sexton, William, Zhuravlev, Pavel
The purpose of this paper is to guide interpretation of the semantic privacy guarantees for some of the major variations of differential privacy, which include pure, approximate, R\'enyi, zero-concentrated, and $f$ differential privacy. We interpret
Externí odkaz:
http://arxiv.org/abs/2209.03310
Autor:
Abowd, John M., Ashmead, Robert, Cumings-Menon, Ryan, Garfinkel, Simson, Heineck, Micah, Heiss, Christine, Johns, Robert, Kifer, Daniel, Leclerc, Philip, Machanavajjhala, Ashwin, Moran, Brett, Sexton, William, Spence, Matthew, Zhuravlev, Pavel
The Census TopDown Algorithm (TDA) is a disclosure avoidance system using differential privacy for privacy-loss accounting. The algorithm ingests the final, edited version of the 2020 Census data and the final tabulation geographic definitions. The a
Externí odkaz:
http://arxiv.org/abs/2204.08986
Autor:
Cumings-Menon, Ryan, Abowd, John M., Ashmead, Robert, Kifer, Daniel, Leclerc, Philip, Ocker, Jeffrey, Ratcliffe, Michael, Zhuravlev, Pavel
The 2020 Census Disclosure Avoidance System (DAS) is a formally private mechanism that first adds independent noise to cross tabulations for a set of pre-specified hierarchical geographic units, which is known as the geographic spine. After post-proc
Externí odkaz:
http://arxiv.org/abs/2203.16654
Autor:
Abowd, John, Ashmead, Robert, Cumings-Menon, Ryan, Garfinkel, Simson, Kifer, Daniel, Leclerc, Philip, Sexton, William, Simpson, Ashley, Task, Christine, Zhuravlev, Pavel
Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata is familiar and convenient for downstream users. However, there is a statistical price for this kind of convenience. We show that an uncert
Externí odkaz:
http://arxiv.org/abs/2110.13239
Deviations from linearity in the dependence of the logarithm of protein unfolding rates, $\log k_u(f)$, as a function of mechanical force, $f$, measurable in single molecule experiments, can arise for many reasons. In particular, upward curvature in
Externí odkaz:
http://arxiv.org/abs/2012.11441
Publikováno v:
Chem. Rev. (2019) 119, 6788-6821
Allosteric signaling in biological molecules, which may be viewed as specific action at a distance due to localized perturbation upon binding of ligands or changes in environmental cues, is pervasive in biology. Phenomenological MWC and KNF models ga
Externí odkaz:
http://arxiv.org/abs/1812.04969
Autor:
Budi Hendrik Setia, Elveny Marischa, Zhuravlev Pavel, Jalil Abduladheem Turki, Al-Janabi Samaher, Alkaim Ayad F., Saleh Marwan Mahmood, Shichiyakh Rustem Adamovich, Sutarto
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 47, Iss 2, Pp 111-125 (2022)
The problem of unequal facility location involves determining the location of a set of production equipment whose dimensions are different, as well as the interrelationships between each of them. This paper presents an efficient method for optimizing
Externí odkaz:
https://doaj.org/article/d77549c075414f3792183cc9c2c04ba7
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.