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SUMMARY:IC Monday Seminar : Signal Processing in the Dark\, or  Signal Pro
 cessing meets Cryptography
DTSTART:20111121T161500
DTSTAMP:20260510T053542Z
UID:d2c5729c56a7c5edb95a2fe05dfb5807a4ed5ed479b8a5984c12b0f4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Inald Lagendijk\, Delft University of Technology - Invit
 ed by Prof. Michael Gastpar\nAbstract In this presentation I will discuss 
 the problems\, principles and examples of protecting the privacy of users 
 in multimedia applications. Several personalized multimedia applications p
 ose serious privacy threats for its users as they rely on privacy-sensitiv
 e information that can be misused. The focus is on those applications that
  are executed remotely or “in the cloud”\, such as on-line recommendat
 ion services but also face-recognition systems. To protect the privacy of 
 users\, an emerging paradigm shows that it is attractive and feasible to c
 ombine signal processing and cryptography. Effectively this boils down to 
 processing of privacy-sensitive data “in the dark”\, i.e. service prov
 iders can still provide services but without accessing the privacy-sensiti
 ve data. Although it is then impossible for the service provider to access
  directly the content of the encrypted data without the decryption key\, i
 t can still process the data under encryption to perform the required task
 . The protocols to process the encrypted data are designed by using crypto
 graphic primitives like homomorphic cryptosystems and secure multiparty co
 mputation techniques. I describe examples that show principled solutions f
 or privacy-preserving signal processing\, including privacy-preserving fac
 e recognition and secure clustering.  Biography Inald Lagendijk is a full 
 professor at Delft University of Technology in the field of multimedia sig
 nal processing\, and holds the chair of Information and Communication Theo
 ry. In the past he was involved in research on image sequence restoration 
 and enhancement\, 3D video\, and video compression. Professor Lagendijk is
  member of the Royal Netherlands Academy of Arts and Sciences (KNAW)\, and
  he is a Fellow of the IEEE (for Contributions to Image Processing).
LOCATION:INM 202
STATUS:CONFIRMED
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