An Approximately Truthful Mechanism for Electric Vehicle Charging via Joint Differential Privacy
Shuo Han, Ufuk Topcu, George Pappas

Citation
Shuo Han, Ufuk Topcu, George Pappas. "An Approximately Truthful Mechanism for Electric Vehicle Charging via Joint Differential Privacy". American Control Conference 2015, 1, July, 2015.

Abstract
In electric vehicle (EV) charging, the goal is to compute a charging schedule that meets all user specifications while minimizing the influence on the power grid. Usually, an optimal schedule is computed by a central authority (called mediator) according to the specifications reported by the users. A desirable property of this procedure is to ensure that participating users truthfully report their specifications rather than maliciously manipulate the scheduling process by misreporting. In this work, we show that approximate truthfulness can be attained by adopting the popular notion of (joint) differential privacy. Joint differential privacy can limit the power of each user in manipulating the scheduling process by remaining insensitive to changes in user specifications. As a result, a user does not benefit much from misreporting his specifications, which leads to truth-telling behaviors.

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Citation formats

• HTML

  Shuo Han, Ufuk Topcu, George Pappas. <a
  href="http://www.terraswarm.org/pubs/422.html"
  >An Approximately Truthful Mechanism for Electric Vehicle
  Charging via Joint Differential Privacy</a>, American
  Control Conference 2015, 1, July, 2015.

• Plain text

  Shuo Han, Ufuk Topcu, George Pappas. "An Approximately
  Truthful Mechanism for Electric Vehicle Charging via Joint
  Differential Privacy". American Control Conference
  2015, 1, July, 2015.

• BibTeX

  @inproceedings{HanTopcuPappas15_ApproximatelyTruthfulMechanismForElectricVehicleCharging,
      author = {Shuo Han and Ufuk Topcu and George Pappas},
      title = {An Approximately Truthful Mechanism for Electric
                Vehicle Charging via Joint Differential Privacy},
      booktitle = {American Control Conference 2015},
      day = {1},
      month = {July},
      year = {2015},
      abstract = {In electric vehicle (EV) charging, the goal is to
                compute a charging schedule that meets all user
                specifications while minimizing the influence on
                the power grid. Usually, an optimal schedule is
                computed by a central authority (called mediator)
                according to the specifications reported by the
                users. A desirable property of this procedure is
                to ensure that participating users truthfully
                report their specifications rather than
                maliciously manipulate the scheduling process by
                misreporting. In this work, we show that
                approximate truthfulness can be attained by
                adopting the popular notion of (joint)
                differential privacy. Joint differential privacy
                can limit the power of each user in manipulating
                the scheduling process by remaining insensitive to
                changes in user specifications. As a result, a
                user does not benefit much from misreporting his
                specifications, which leads to truth-telling
                behaviors. },
      URL = {http://terraswarm.org/pubs/422.html}
  }
  

Posted by Barb Hoversten on 3 Nov 2014.
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