|
Instructors: Prof. Dr.-Ing. Thomas Schneider
Event type:
Seminar
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
PRIVTECH
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
Data is the oil of the 21st century and users leave more and more digital traces that are collected and evaluated by companies like Facebook or Google, as well as by intelligence services.
In this seminar, we will look at techniques for protecting privacy that allow to process sensitive data under encryption without revealing the data itself. We will investigate both the theoretical background as well as practical issues of such solutions.
Small groups of students choose a topic for which they get two or three publications that they will summarize in a written report and present in a talk.
Possible topics include:
- Privacy-preserving biometric identification
- Privacy-preserving mobile applications, e.g., for location-based services
- Privacy-preserving download of files, e.g., for medical or patent databases (Private Information Retrieval)
- Privacy-preserving finding of common contacts or customers (Private Set Intersection)
- Privacy-preserving checking for credit worthiness (Private Function Evaluation with linear complexity)
- Representing functions as data (Universal Circuits)
- Tools for privacy-preserving applications
More Details: Weitere Details: http://encrypto.de/PRIVTECH
Preconditions:
Attendance of "Introduction to Cryptography" and/or "Cryptographic Protocols" is a plus, but not required.
Further Grading Information:
All participants have to attend the kickoff event and the day with the presentations in the end of the semester (the exact date will be announced later). During the semester, individual appointments will be scheduled.
|
