Christoph Busch

Christoph Busch serves as an External Lecturer at the Department of Applied Mathematics and Computer Science (DTU Compute) within the Technical University of Denmark, specializing in Cybersecurity Engineering. His academic role centers on biometric security systems and machine learning applications.

His research spans Cybersecurity and Machine Learning, with emphasis on biometric authentication protocols resistant to offline attacks, cryptographic key exchange mechanisms, and generative adversarial networks for image reconstruction. Specific interests include fuzzy vault schemes, zero-effort attack mitigation, and network inversion techniques for enhancing biometric recognition accuracy.

Publication analysis reveals a cohesive interdisciplinary trajectory: recent work merges cryptographic principles with deep learning to develop robust authentication frameworks (e.g., BRAKE protocol) and advanced GAN-based inversion methods (EGAIN), addressing critical gaps in secure digital identity systems and visual information processing.