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Huixing Deng

dblp:271/4533 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 50% Web and mobile security · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security
policy-violation detection
0.612022
SkillDetective: Automated Policy-Violation Detection of Voice Assistant Applications in the Wild · USENIX Security Symposium 2022
YearPublicationVenuePosition
2022 SkillDetective: Automated Policy-Violation Detection of Voice Assistant Applications in the Wild
Song Liao, Long Cheng 0005, Hongxin Hu, Huixing Deng
USENIX Security Symposium5
2020 Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
abstract
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quickly and seamlessly integrating into people’s daily lives. The increased reliance on VA services raises privacy concerns such as the leakage of private conversations and sensitive information. Privacy policies play an important role in addressing users’ privacy concerns and informing them about the data collection, storage, and sharing practices. VA platforms (both Amazon Alexa and Google Assistant) allow third-party developers to build new voice-apps and publish them to app stores. Voice-app developers are required to provide privacy policies to disclose their apps’ data practices. However, little is known whether these privacy policies are informative and trustworthy or not on emerging VA platforms. On the other hand, many users invoke voice-apps through voice and thus there exists a usability challenge for users to access these privacy policies.
Song Liao, Christin Wilson, Long Cheng 0005, Hongxin Hu, Huixing Deng
ACSAC5