Several recent incidents highlight significant security and privacy risks associated with intelligent virtual assistants (IVAs). Better diagnostic testing of IVA ecosystems can reveal such vulnerabilities and lead to more trustworthy systems.
%0 Journal Article
%1 ChungIorgaEtAl17computer
%A Chung, Hyunji
%A Iorga, Michaela
%A Voas, Jeffrey
%A Lee, Sangjin
%D 2017
%J Computer
%K 01801 ieee paper ai assist user language processing secure data application zzz.sds
%N 9
%P 100--104
%R 10.1109/MC.2017.3571053
%T ''Alexa, Can I Trust You?''
%V 50
%X Several recent incidents highlight significant security and privacy risks associated with intelligent virtual assistants (IVAs). Better diagnostic testing of IVA ecosystems can reveal such vulnerabilities and lead to more trustworthy systems.
@article{ChungIorgaEtAl17computer,
abstract = {Several recent incidents highlight significant security and privacy risks associated with intelligent virtual assistants (IVAs). Better diagnostic testing of IVA ecosystems can reveal such vulnerabilities and lead to more trustworthy systems.},
added-at = {2017-10-30T15:25:14.000+0100},
author = {Chung, Hyunji and Iorga, Michaela and Voas, Jeffrey and Lee, Sangjin},
biburl = {https://www.bibsonomy.org/bibtex/2ccf618c41e18048fdac4bbb7ea6a1664/flint63},
doi = {10.1109/MC.2017.3571053},
file = {IEEE Digital Library:2017/ChungIorgaEtAl17computer.pdf:PDF},
groups = {public},
interhash = {744f845b9e3aaa7d222e2e684c2cf654},
intrahash = {ccf618c41e18048fdac4bbb7ea6a1664},
issn = {0018-9162},
journal = {Computer},
keywords = {01801 ieee paper ai assist user language processing secure data application zzz.sds},
month = {#sep#},
number = 9,
pages = {100--104},
timestamp = {2018-04-16T12:08:19.000+0200},
title = {''{Alexa}, Can I Trust You?''},
username = {flint63},
volume = 50,
year = 2017
}