Now showing items 1-3 of 3

    • Differential Privacy: A Primer for a Non-Technical Audience 

      Wood, Alexandra; Altman, Micah; Bembenek, Aaron; Bun, Mark; Gaboardi, Marco; Honaker, James; Nissim, Kobbi; O'Brien, David; Steinke, Thomas; Vadhan, Salil (Vanderbilt University, 2018)
      Differential privacy is a formal mathematical framework for quantifying and managing privacy risks. It provides provable privacy protection against a wide range of potential attacks, including those currently unforeseen. ...
    • A Harm-Reduction Framework for Algorithmic Fairness 

      Altman, Micah; Wood, Alexandra B; Vayena, Effy (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      In this article, we recognize the profound effects that algorithmic decision-making can have on people's lives and propose a harm-reduction framework for algorithmic fairness. We argue that any evaluation of algorithmic ...
    • Practical approaches to big data privacy over time 

      Altman, Micah; Wood, Alexandra B; O'Brien, David; Gasser, Urs (Oxford University Press (OUP), 2018)
      Key Points Governments and businesses are increasingly collecting, analysing, and sharing detailed information about individuals over long periods of time. Vast quantities of data from new sources and novel methods ...