Blar i NTNU Open på forfatter "Vinterbo, Staal"

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    • A Simple Algorithm for Estimating Distribution Parameters from n -Dimensional Randomized Binary Responses 

      Vinterbo, Staal (Journal article; Peer reviewed, 2018)
      Randomized response is attractive for privacy preserving data collection because the provided privacy can be quantified by means such as differential privacy. However, recovering and analyzing statistics involving multiple ...

    • An open access medical knowledge base for community driven diagnostic decision support system development 

      Müller, Lars; Gangadharaiah, Rashmi; Klein, Simone; Perry, James; Bernstein, Greg; Nurkse, David; Wailes, Dustin; Graham, Rishi; El-Kareh, Robert; Mehta, Sanjay; Vinterbo, Staal; Aronoff-Spencer, Eliah (Journal article; Peer reviewed, 2019)
      Introduction While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will ...

    • Analyzing Privacy in Software 

      Tang, Feiyang (Doctoral theses at NTNU;2024:82, Doctoral thesis, 2024)
      In our increasingly digital world, a pressing concern emerges: How do we secure our privacy as we increasingly depend on software? As we navigate through apps and platforms, the complexities of data privacy become evident. ...

    • Differential privacy for symmetric log-concave mechanisms 

      Vinterbo, Staal (Peer reviewed; Journal article, 2022)
      Adding random noise to database query results is an important tool for achieving privacy. A challenge is to minimize this noise while still meeting privacy requirements. Recently, a sufficient and necessary condition for ...

    • Parallel Feature Selection Using Only Counts 

      Vinterbo, Staal; Que, Jialan (Journal article; Peer reviewed, 2018)
      Count queries belong to a class of summary statistics routinely used in basket analysis, inventory tracking, and study cohort finding. In this article, we demonstrate how it is possible to use simple ...

    • The Tension between Anonymity and Privacy 

      Vinterbo, Staal (Journal article; Peer reviewed, 2018)
      Privacy in the context of information and data is often defined in terms of anonymity, particularly in regulations such as the GDPR. Operationally, it is appealing to define privacy in terms of computable data properties ...