Privacy Leakage of Search-Based Multi-Agent Planning Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336490" target="_blank" >RIV/68407700:21230/19:00336490 - isvavai.cz</a>
Result on the web
<a href="https://aaai.org/ojs/index.php/ICAPS/article/view/3513" target="_blank" >https://aaai.org/ojs/index.php/ICAPS/article/view/3513</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Privacy Leakage of Search-Based Multi-Agent Planning Algorithms
Original language description
Privacy-Preserving Multi-Agent Planning (PP-MAP) has recently gained the attention of the research community, resulting in a number of PP-MAP planners and theoretical works. Many such planners lack strong theoretical guarantees, thus in order to compare their abilities w.r.t. privacy, a versatile and practical metric is crucial. In this work, we propose such a metric, building on the existing theoretical work. We generalize and implement the approach in order to be applicable on real planning domains and provide an evaluation of stateof-the-art PP-MAP planners over the standard set of benchmarks. The evaluation shows that the proposed privacy leakage metric is able to provide a comparison of PP-MAP planners and reveal important properties.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling
ISBN
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ISSN
2334-0843
e-ISSN
2334-0843
Number of pages
9
Pages from-to
482-490
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Berkeley
Event date
Jul 11, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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