Harald Baier
Biographic Data
| ID | 10397153 |
|---|---|
| NAME | Harald Baier |
| GIVEN NAMES | Harald |
| FAMILY NAME | Baier |
| SIGNATURE | BAIER H |
| AFFILIATIONS | Universität der Bundeswehr München |
| ORCID | 0000-0002-9254-6398 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Boon or Bane
Linking an image to its origin is a fundamental task in digital forensics often addressed through Source Camera Identification (SCI) based on Sensor Pattern Noise (SPN). However, recent advances in AI-enhanced smartphone photography challenge the reliability of SPN. On the other hand, noise-based identification approaches have been successfully transferred to AI-generated images. Therefore, we investigate whether the noise patterns of AI-generate…
Addressing the dataset gap problem with Generative AI
The increasing amount of incriminating data to be analysed on the one hand and the limited availability of forensic datasets on the other hand complicate forensic research as well as the development and validation of forensic tools. This challenge is often referred to as the dataset gap problem . A novel and promising approach to solve the dataset gap problem is the generation of synthetic, forensic scenarios through the application of Generative…
No prominent works on this page.
Boon or Bane
Linking an image to its origin is a fundamental task in digital forensics often addressed through Source Camera Identification (SCI) based on Sensor Pattern Noise (SPN). However, recent advances in AI-enhanced smartphone photography challenge the reliability of SPN. On the other hand, noise-based identification approaches have been successfully transferred to AI-generated images. Therefore, we investigate whether the noise patterns of AI-generate…
Addressing the dataset gap problem with Generative AI
The increasing amount of incriminating data to be analysed on the one hand and the limited availability of forensic datasets on the other hand complicate forensic research as well as the development and validation of forensic tools. This challenge is often referred to as the dataset gap problem . A novel and promising approach to solve the dataset gap problem is the generation of synthetic, forensic scenarios through the application of Generative…
Digital and Cyber Forensics (2 works) · Digital camera (1 work) · Digital image (1 work) · Digital Media Forensic Detection (1 work) · Economic shortage (1 work) · False positive paradox (1 work) · Forensic Fingerprint Detection Methods (1 work) · Generative Adversarial Networks and Image Synthesis (1 work) · Generative grammar (1 work) · Generative model (1 work)