Information Hiding

- Steganography

- Supraliminal Audio Steganography: Audio Files Tricking Audiophiles

- An Epistemological Approach to Steganography

- Fisher Information Determines Capacity of ?-Secure Steganography

- Fast BCH Syndrome Coding for Steganography

- Steganalysis

- Embedding Ratio Estimating for Each Bit Plane of Image

- Estimating Steganographic Fisher Information in Real Images

- Watermarking

- Fast Determination of Sensitivity in the Presence of Countermeasures in BOWS-2

- A Phase Modulation Audio Watermarking Technique

- Forensic Tracking Watermarking against In-theater Piracy

- Self-recovery Fragile Watermarking Using Block-Neighborhood Tampering Characterization

- Perception-Based Audio Authentication Watermarking in the Time-Frequency Domain

- Fingerprinting

- An Improvement of Short 2-Secure Fingerprint Codes Strongly Avoiding False-Positive

- Estimating the Minimal Length of Tardos Code

- Hiding in Unusual Content, Novel Applications

- Roughness-Adaptive 3D Watermarking of Polygonal Meshes

- Hardware-Based Public-Key Cryptography with Public Physically Unclonable Functions

- SVD-Based Ghost Circuitry Detection

- Forensics

- Microphone Classification Using Fourier Coefficients

- Detect Digital Image Splicing with Visual Cues

- Feature-Based Camera Model Identification Works in Practice

Prof. Dr. techn. Stefan Katzenbeisser, Dipl. Informatiker, Diplom an der TU Wien (2001), Promotion an der TU München (2005), Senior Scientist, Philips Research Europe, Information and System Security Group (2005-2007), Juniorprofessor für Security Engineering (2007 - 2011), seit 2011 Universitätsprofessor für Security Engineering der TU Darmstadt, Forschungsschwerpunkte in Cryptographic protocols (design, analysis), Cryptographic techniques for noisy and fuzzy data, Privacy Enhancing, Technologies, Software Security, Watermarking, Digital Rights Management, Copyright Protection, Malicious Code Detection.