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Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
[article]
2022
arXiv
pre-print
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tractable for very large, longitudinal datasets; and its results are explainable both to politicians and to the general public. ...
The approach we suggest brings three principal advantages: it is flexible, allowing for precise quantification and comparison of privacy risks for attacks both known and novel; it can be computationally ...
and quantify privacy risks at very large scale using as an example the case of inep's Educational Censuses datasets. ...
arXiv:2204.13734v3
fatcat:2qk4cyygtnenfbpzruzv346j5q
CESSDA SaW D3.5: Report on the state-of-the-art, obstacles, models and roadmaps for widening the data perimeter of the data services
2017
Zenodo
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Experiences and best practices are presented in this report with the objective of providing a practical roadmap, given that widening of CESSDA needs to address new data sources and new actors. ...
The task reviewed the state of play regarding specific data domains (data provided by academia, official statistics including administrative data, historical, health data and big data that means existing ...
PILOT STUDY ASSESSING RESEARCHERS' NEEDS IN SLOVENIA In order to explore the use of official statistics microdata and to recognise the practices and needs of researchers, four interviews with researchers ...
doi:10.5281/zenodo.3769608
fatcat:7n3pmitl2vbnlbhi7a3j6bkjwa
State of the Art on Mobility and Transport data protection technologies
2021
Zenodo
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This document describes the legal provisions and risks associated with the collection of personal mobility and transportation data, along with design strategies and technologies to reduce or eliminate ...
We should note that most of the authors' choices for the value of 𝛿𝛿 in the presented experiments are not aligned with the restrictions set on 𝛿𝛿 by Dwork and Roth 130 , that required 𝛿𝛿 to be ...
On the other hand, in IFS the first step is to interpolate the curve in each time interval by using the cubic Bézier interpolation and then sample an alternative trajectory 𝑇𝑇 𝑚𝑚𝑖𝑖𝑚𝑚 . ...
doi:10.5281/zenodo.6811373
fatcat:qwcyotcs3bds5jswcc6lgbonuq
Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward
2022
BMJ Global Health
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and coordinate responses in an efficient and scalable manner, both for this pandemic and for future outbreaks. ...
With the likelihood of disease outbreaks expected to increase in the future as more people are displaced due to conflict and climate change, we call for the development of more approaches and models specifically ...
health community to share needs, develop tools and coordinate responses in an efficient and scalable manner, both for this pandemic and for future outbreaks. ...
doi:10.1136/bmjgh-2021-007822
pmid:35264317
pmcid:PMC8915287
fatcat:lgr2wsdwejeepndfgsb5ahwjpu
A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study
[article]
2022
arXiv
pre-print
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We show that this problem is NP-complete, and provide a methodology to identify tractable instances. ...
In this paper we describe, formalize, implement, and experimentally evaluate a novel transaction re-identification attack against official foreign-trade statistics releases in Brazil. ...
We leave this investigation to future work. ...
arXiv:2206.06493v1
fatcat:qsno657pa5agdjjh4c7ji67t6q
Translating Workforce Development Policy Interventions for Community Health Workers
2020
Journal of Public Health Management and Practice
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There is a need for knowledge translation to advance health equity in the prevention and control of cardiovascular disease and type 2 diabetes. ...
During 2016-2019, a team of public health researchers and practitioners applied the policy research continuum, a multiphased systematic assessment approach that incorporates legal epidemiology to enhance ...
and error properties of statistics, and public concerns about privacy afecting attitudes toward statistical agencies. ...
doi:10.1097/phh.0000000000001123
pmid:32004218
fatcat:4nbsug5fardcxmuqw7fniyhh2y
Understanding And Mapping Big Data
2015
Zenodo
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Understanding and mapping big data. Deliverable D1.1 BYTE Project. ...
By assessing the relationships embedded in large datasets it is possible to construct a new generation of models explaining how things are likely to evolve in the future. ...
Main characteristics of such collaborations are that they will require access to very large data collections, very large scale computing resources and high performance visualisation. ...
doi:10.5281/zenodo.49161
fatcat:wz3cwet3wfbmvfzucivu3t64eq
Botnet Detection in Anonymous Networks
2018
Autonomous Infrastructure, Management and Security
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One of the goals of AIMS is to provide early researchers with constructive feedback by senior scientists and give them the possibility to grow in the research community by means of targeted lab sessions ...
Within the security and network and service management community, AIMS is focused on PhD students and young researchers. ...
SIDNfonds is an independent fund on the initiative of SIDN, the registrar for '.nl' domains. ...
dblp:conf/aims/KuhnertSB18
fatcat:745qy2tejngb5apqlse4sn3djm
State Of The Art Analysis Report
2014
Zenodo
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This document is the "State of the art analysis report" deliverable and its main objective is to collect information about standards, existing technologies, architectures and systems developed in other ...
projects, as well as initia-tives and policies and data sources repositories (specially at local, national and European level) which are relevant for defining and implementing the different aspects of ...
large datasets. ...
doi:10.5281/zenodo.200497
fatcat:otpyumabc5fbpgqmixtgmt7hli
Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom
2004
International Journal of Health Geographics
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This paper has the following objectives: (1) to illustrate with practical, real-world scenarios and examples from the literature the different GIS methods and uses to improve community health and healthcare ...
practices, e.g., for improving hospital bed availability, in community health and bioterrorism surveillance services, and in the latest SARS outbreak; (2) to discuss challenges and problems currently ...
et al found that a key element for success included the deep understanding of the OTC healthcare products industry provided to them by an industry expert [56] . (4) Official/governmental support: Equally ...
doi:10.1186/1476-072x-3-1
pmid:14748927
pmcid:PMC343292
fatcat:6exn7qurkrhetn7gtkuaenul5a
State of AI Ethics Report (Volume 6, February 2022)
[article]
2022
arXiv
pre-print
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The two AI spotlights feature application pieces on "Constructing and Deconstructing Gender with AI-Generated Art" as well as "Will an Artificial Intellichef be Cooking Your Next Meal at a Michelin Star ...
It is a resource for researchers and practitioners alike in the field to set their research and development agendas to make contributions to the field of AI ethics. ...
This means that the database is highly extensible to new incident types and scalable to a very large number of incident reports. ...
arXiv:2202.07435v1
fatcat:wbalu3j3ynelfim7eqvxcpwu3q
D2.2 Pilots Research Results
2019
Zenodo
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of the project and carried out a systematic exploration of available data sources and methods that can be used to develop indicators addressing them. ...
In this report, we present the rationale, methodology and emerging findings for each of these exploratory pilots. ...
Flexibility of the application domain Due to the cross-sector and cross-country character of international management standards, there is indeed less consideration related to the flexibility of the application ...
doi:10.5281/zenodo.3243490
fatcat:tvhmeonnknc5vdssp6lxdq57fy
Spatiotemporal enabled Content-based Image Retrieval
2016
International Conference on GIScience Short Paper Proceedings
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Introduction Nowadays, WSNs have found various applications in industry, security, agriculture, military and disaster management. ...
Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. ...
Thank-you to U. Demšar who read and commented on an earlier version. ...
doi:10.21433/b311729295dw
fatcat:fulw4pw3kfh5nmfzcsy3pkisvm
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
arXiv
pre-print
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Secondly, we document and summarize hundreds of available alternatives, annotating their domain and supported fairness tasks, along with additional properties of interest for fairness researchers. ...
We discuss different approaches and levels of attention to these topics, making them tangible, and distill them into a set of best practices for the curation of novel resources. ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris ...
arXiv:2202.01711v3
fatcat:kd546yklwjhvtkrbhtzgbzb2xm
Risk, Data and the Bar Codes of Finance
2015
Social Science Research Network
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can be used to construct the UTI until an official "global" UTI construction method is determined. ...
Transaction data can neither be matched nor aggregated for risk assessment across trade repositories, nor up through a hierarchy of ownership to an ultimate parent (OFR). ■ ■ With some regulators, the ...
doi:10.2139/ssrn.2544356
fatcat:qrk3rkw6u5c3vdjtzg23ao2paa
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