J. Becker

Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications

V. Sidorenko, T. Harbaum, Fabian Kreß, 2022, 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS).

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.

Ultra-low Power Machinery Fault Detection Using Deep Neural Networks

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

Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen

T. Harbaum, Fabian Kreß, Alexey Serdyuk, 2022, 2022 11th Mediterranean Conference on Embedded Computing (MECO).

SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators

T. Harbaum, Fabian Kreß, Tim Hotfilter, 2023, ACM Great Lakes Symposium on VLSI.

Reconfiguring an RFET Based Differential Amplifier

Tillmann A. Krauss, K. Hofmann, J. Becker, 2022, 2022 IEEE 40th Central America and Panama Convention (CONCAPAN).

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems

V. Sidorenko, T. Harbaum, Fabian Kreß, 2023, Comput. Networks.