Differential privacy of hierarchical Census data: An optimization approach

, &
Artificial Intelligence 296 (C):103475 (2021)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2021.103475

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,072

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Differential evolution for noisy multiobjective optimization.Pratyusha Rakshit & Amit Konar - 2015 - Artificial Intelligence 227:165-189.
Certifiably robust interpretation via Rényi differential privacy.Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia & Chuang Gan - 2022 - Artificial Intelligence 313 (C):103787.
Hierarchical differential evolution for parameter estimation in chemical kinetics.Yuan Shi & Xing Zhong - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), PRICAI 2008: Trends in Artificial Intelligence. Springer. pp. 870--879.
Artificial Intelligence and Data Harvesting: An Interview with Carissa Véliz.Carissa Véliz & Stephen Law - 2023 - Think 22 (63):59-62.
A hierarchical approach to computer Hex.Vadim V. Anshelevich - 2002 - Artificial Intelligence 134 (1-2):101-120.
A belief network approach to optimization and parameter estimation: application to resource and environmental management.Olli Vans - 1998 - Artificial Intelligence 101 (1-2):135-163.
A Clonal Selection Optimization System for Multiparty Secure Computing.Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu & Xiang Wu - 2021 - Complexity 2021:1-14.
Hierarchical semi-Markov conditional random fields for deep recursive sequential data.Truyen Tran, Dinh Phung, Hung Bui & Svetha Venkatesh - 2017 - Artificial Intelligence 246 (C):53-85.
Introduction to Data Ethics.James Brusseau - 2018 - In Introduction to Data Ethics. Boston, USA: Boston Academic Publishing / Flatworld Knowledge. pp. 349-376.
An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling.W. T. Luke Teacy, Michael Luck, Alex Rogers & Nicholas R. Jennings - 2012 - Artificial Intelligence 193 (C):149-185.

Analytics

Added to PP
2021-02-20

Downloads
32 (#707,649)

6 months
8 (#588,629)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references