Uploaded April 2026 | Updated September 2026, 1 week ago
Computer Science & Information Security Institute Seminar Series
April 23, 2026
“From Dashboards to Labels: Helping Users Manage and Make Decisions About Privacy”
Adam J. Aviv, George Washington University
The surveillance economy, in which tracking and collecting data are used for the purpose of advertising and other actions, is central to many of the money- making enterprises of the modern technology ecosystem. Due to regulations and other factors, some of the largest companies—such as Google and Apple—have prioritized mechanisms that allow users to better manage and understand the data being collected about them. In this talk, Adam Aviv will explore how effective these mechanisms are and ask who they ultimately serve. He will present recent experiments his team has performed on Google's data dashboards and their effectiveness, and will also present ongoing work on Apple's app-based privacy nutrition labels, which describe apps' functionality with relation to privacy.
Adam J. Aviv is an associate professor of computer science at the George Washington University. He has broad research interests in computer and cyber- security and privacy, including network security, mobile security, applied cryptography, and usable security and privacy. Most recently, he has focused on human factors in mobile device security and authentication, considering how human choices, perceptions, and actions influence system security.
Computer Science & Information Security Institute Seminar Series
April 23, 2026
“From Dashboards to Labels: Helping Users Manage and Make Decisions About Privacy”
Adam J. Aviv, George Washington University
The surveillance economy, in which tracking and collecting data are used for the purpose of advertising and other actions, is central to many of the money- making enterprises of the modern technology ecosystem. Due to regulations and other factors, some of the largest companies—such as Google and Apple—have prioritized mechanisms that allow users to better manage and understand the data being collected about them. In this talk, Adam Aviv will explore how effective these mechanisms are and ask who they ultimately serve. He will present recent experiments his team has performed on Google's data dashboards and their effectiveness, and will also present ongoing work on Apple's app-based privacy nutrition labels, which describe apps' functionality with relation to privacy.
Adam J. Aviv is an associate professor of computer science at the George Washington University. He has broad research interests in computer and cyber- security and privacy, including network security, mobile security, applied cryptography, and usable security and privacy. Most recently, he has focused on human factors in mobile device security and authentication, considering how human choices, perceptions, and actions influence system security.
