IC Monday Seminar : Signal Processing in the Dark, or Signal Processing meets Cryptography
Event details
| Date | 21.11.2011 |
| Hour | 16:15 |
| Speaker | Prof. Inald Lagendijk, Delft University of Technology - Invited by Prof. Michael Gastpar |
| Location |
INM 202
|
| Category | Conferences - Seminars |
Abstract In this presentation I will discuss the problems, principles and examples of protecting the privacy of users in multimedia applications. Several personalized multimedia applications pose serious privacy threats for its users as they rely on privacy-sensitive information that can be misused. The focus is on those applications that are executed remotely or “in the cloud”, such as on-line recommendation services but also face-recognition systems. To protect the privacy of users, an emerging paradigm shows that it is attractive and feasible to combine signal processing and cryptography. Effectively this boils down to processing of privacy-sensitive data “in the dark”, i.e. service providers can still provide services but without accessing the privacy-sensitive data. Although it is then impossible for the service provider to access directly the content of the encrypted data without the decryption key, it can still process the data under encryption to perform the required task. The protocols to process the encrypted data are designed by using cryptographic primitives like homomorphic cryptosystems and secure multiparty computation techniques. I describe examples that show principled solutions for privacy-preserving signal processing, including privacy-preserving face recognition and secure clustering. Biography Inald Lagendijk is a full professor at Delft University of Technology in the field of multimedia signal processing, and holds the chair of Information and Communication Theory. 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).
Links
Practical information
- General public
- Free
Contact
- Simone Muller