• Publications
  • Influence
Stopping spyware at the gate: a user study of privacy, notice and spyware
TLDR
An ecological study of users installing five real world applications found that privacy and security become important factors when choosing between two applications with similar functionality, and that providing vague information in EULAs and short notices can create an unwarranted impression of increased security. Expand
Data, privacy, and the greater good
TLDR
The use of machine learning to make leaps across informational and social contexts to infer health conditions and risks from nonmedical data provides representative scenarios for reflections on directions with balancing innovation and regulation. Expand
Noticing notice: a large-scale experiment on the timing of software license agreements
TLDR
A study of software installation showed that providing a short summary notice, in addition to the End User License Agreement (EULA), before the installation reduced the number of software installations significantly, but even with the short notices, many users installed the program and later expressed regret for doing so. Expand
Inferring Personal Information from Demand-Response Systems
TLDR
The authors propose a disclosure metric to aid in quantifying the impact of data collection on in-home privacy and construct an example metric for their experiment, showing that, even with relatively unsophisticated hardware and data-extraction algorithms, some information about occupant behavior can be estimated with a high degree of accuracy. Expand
Doctrine for Cybersecurity
Abstract A succession of doctrines for enhancing cybersecurity has been advocated in the past, including prevention, risk management, and deterrence through accountability. None has proved effective.Expand
Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns
TLDR
The approach incorporates a visual color-tracker based on a 9 dimensional color-space by using a probabilistic AdaBoost classifier with axis-aligned hyperplanes as weak-learners and particle filtering to incorporate interframe temporal information. Expand
Respectful cameras: detecting visual markers in real-time to address privacy concerns
TLDR
The approach incorporates a visual color-tracker based on a 9 dimensional color-space by using a probabilistic AdaBoost classifier with axis-aligned hyperplanes as weak-learners and particle filtering to incorporate interframe temporal information. Expand
How DRM-based content delivery systems disrupt expectations of "personal use"
TLDR
Technological and legal considerations are presented which may help current and future DRM system designers better accommodate consumers' expectations of personal use. Expand
CITRIS Report: The San Francisco Community Safety Camera Program - An Evaluation of the Effectiveness of San Francisco's Community Safety Cameras
This study evaluates the effectiveness of the City of San Francisco’s Community Safety Camera (CSC) program. Chapter 1 describes the origins of the CSC program and the City of San Francisco’s primaryExpand
Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy
TLDR
It is argued for a new approach to privacy research and practical design, focused on the development of conceptual analytics that facilitate dissecting privacy’s multiple uses across multiple contexts. Expand
...
1
2
3
4
5
...