Multimedia Security (MMSec(A))- Person in charge
- PD Dr.-Ing. Christian Riess
- Details
- Vorlesung
Präsenz
2 cred.h, certificate, Sprache Englisch
- Fields of study
- WPF INF-MA 1
WPF ICT-MA 1
- Prerequisites / Organisational information
- The majority of the methods are applications of signal processing. Thus, it is recommended to bring prior basic knowledge either in signal processing, pattern recognition, image processing, or related fields. Additionally, it is important to bring basic knowledge in programming, preferably in python.
- Contents
- Participants of this lecture obtain an overview of the field of Multimedia Security. This includes a variety of security-related questions around multimedia data. In particular, we present key results and techniques from image forensics, steganography, watermarking, and biometrics. Selected algorithms are implemented and tested by the participants. It is helpful to bring prior experience in signal processing or pattern recognition.
The lecture format will be an inverted classroom.
Everything will be coordinated via studon, please register for the class here: https://www.studon.fau.de/crs4073899_join.html
(automatisch geplant, erwartete Hörerzahl original: 9, fixe Veranstaltung: nein)
- Recommended literature
-
A number of scientific publications will be provided as additional reading in the course of the lecture.
- ECTS information:
- Title:
- Multimedia Security
- Prerequisites
- The majority of the methods are applications of signal processing. Thus, it is recommended to bring prior basic knowledge either in signal processing, pattern recognition, image processing, or related fields. Additionally, it is important to bring basic knowledge in programming, preferably in python.
- Contents
- Participants of this lecture obtain an overview of the field of Multimedia Security. This includes a variety of security-related questions around multimedia data. In particular, we present key results and techniques from image forensics, steganography, watermarking, and biometrics. Selected algorithms are implemented and tested by the participants. It is helpful to bring prior experience in signal processing or pattern recognition.
- Literature
- Farid: "Photo Forensics"
Sencar, Memon: "Digital Image Forensics" Oppenheim, Schafer: "Discrete-Time Signal Processing"
A number of scientific publications will be provided as additional reading in the course of the lecture. - Additional information
- Keywords: Steganography, Watermarking, Multimedia Forensics, Data Hiding, Copyright Protection
Expected participants: 20, Maximale Teilnehmerzahl: 30
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2022/2023:
- Multimedia Security (MMSec)
- Department: Chair of Computer Science 1 (IT Security Infrastructures)
Courses
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