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Engineering Privacy in Public: Confounding Face Recognition

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Privacy Enhancing Technologies (PET 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2760))

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Abstract

The objective of DARPA’s Human ID at a Distance (HID) program “is to develop automated biometric identification technologies to detect, recognize and identify humans at great distances.” While nominally intended for security applications, if deployed widely, such technologies could become an enormous privacy threat, making practical the automatic surveillance of individuals on a grand scale. Face recognition, as the HID technology most rapidly approaching maturity, deserves immediate research attention in order to understand its strengths and limitations, with an objective of reliably foiling it when it is used inappropriately. This paper is a status report for a research program designed to achieve this objective within a larger goal of similarly defeating all HID technologies.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, University of Pennsylvania, 200 South 33rd Street, Philadelphia, PA, 19104-6389, USA

    James Alexander & Jonathan Smith

Authors
  1. James Alexander
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  2. Jonathan Smith
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Editor information

Editors and Affiliations

  1. The Free Haven Project,  

    Roger Dingledine

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© 2003 Springer-Verlag Berlin Heidelberg

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Alexander, J., Smith, J. (2003). Engineering Privacy in Public: Confounding Face Recognition. In: Dingledine, R. (eds) Privacy Enhancing Technologies. PET 2003. Lecture Notes in Computer Science, vol 2760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40956-4_7

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  • DOI: https://doi.org/10.1007/978-3-540-40956-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20610-1

  • Online ISBN: 978-3-540-40956-4

  • eBook Packages: Springer Book Archive

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