Sven Nitzsche

Comparison of Artificial and Spiking Neural Networks for Ambient-Assisted Living

J. Becker, Sven Nitzsche, Brian Pachideh, 2022, 2022 Smart Systems Integration (SSI).

Amplifying Side Channel Leakage by Hardware Modification of Xilinx Zynq-7 FPGA Evaluation Boards

J. Henkel, Nadir Khan, J. Becker, 2019 .

PREUNN: Protocol Reverse Engineering using Neural Networks

I. Baumgart, J. Becker, Sven Nitzsche, 2022, ICISSP.

Digital Hardware Implementation of Optimized Spiking Neurons

Sven Nitzsche, Brian Pachideh, Nicolas Luhn, 2021, 2021 International Conference on Neuromorphic Computing (ICNC).

Ultra-low Power Machinery Fault Detection Using Deep Neural Networks

S. Dosky, J. Becker, Sven Nitzsche, 2021, PKDD/ECML Workshops.

Utilizing and Extending Trusted Execution Environment in Heterogeneous SoCs for a Pay-Per-Device IP Licensing Scheme

Jürgen Becker, Sven Nitzsche, Nadir Khan, 2021, IEEE Transactions on Information Forensics and Security.

Secure Local Configuration of Intellectual Property Without a Trusted Third Party

Jürgen Becker, Arthur Silitonga, Nadir Khan, 2019, ARC.

Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics

R. Dillmann, A. Roennau, Robin Koch, 2021, Frontiers in Neuroscience.

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey

J. M. Zöllner, Tobias Fleck, Sven Nitzsche, 2023, 2023 IEEE International Smart Cities Conference (ISC2).