Manuel Brosch

Manuel Brosch is a researcher at the Chair of Information Security within the Technical University of Munich (TUM). His work focuses on the intersection of artificial intelligence and hardware security, particularly in mitigating vulnerabilities in neural network implementations.

• Contact: manuel.brosch@tum.de | +49 (89) 289 - 28245 | Room 0101.Z1.007

Research Interests

Manuel leads research on:

• Side-Channel Analysis of Neural Networks
• Security of AI Hardware Accelerators
• Countermeasures for Neuromorphic Hardware
• Secure Implementation of Cryptographic Methods

Scientific Contributions

His recent publications (2022–2024) address:

• Hardware security for spiking neural networks
• Fault injection techniques in cryptographic systems
• Embedded distributed computing architectures
• Shuffling-based side-channel defenses

Teaching

Manuel supervises students in:

• Internship in Measurement Systems and Sensor Technology
• Secure implementation of cryptographic methods