Alexa, Can I Trust You?

By Hyunji Chung, M. Iorga, J. Voas, Sangjin Lee. 2017

232 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

Citations in the corpus

• Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019, neutral): “While recent studies have identified security vulnerabilities in these devices [3,4], such studies tend to hide more important privacy risks that can have long-term impact.”