Cited by 230Privacy, Security, and Data ProtectionSpeech and dialogue systemsSecurity and Verification in Computing

“Alexa, Can I Trust You?”

Open access
Chung, Hyunji, Iorga, Michaela, Voas, Jeffrey, Lee, Sangjin·2017·Computer

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.

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Crossref · 10.1109/mc.2017.3571053

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Authors
Chung, H., Iorga, M., Voas, J., & Lee, S.
Affiliations
  • National Institute of Standards and Technology (US)
  • Korea University (KR)
Venue
Computer
Published
2017
Volume
50
Issue
9
Pages
100-104
ISSN
  • 0018-9162 (ISSN-L)
  • 1558-0814
OpenAlex
W2759491482
Cited by
230
References
4
Citations by year
2026: 4 · 2025: 15 · 2024: 12 · 2023: 27 · 2022: 38 · 2021: 49 · 2020: 42 · 2019: 28 · 2018: 14 · 2017: 1
FWCI
59.54
Type
journal article
Language
en
Open access
Locations
  • Computer (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
Keywords
virtual assistants, security vulnerabilities, privacy risks, trustworthiness, diagnostic testing, voice assistants

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