Secure Local Configuration of Intellectual Property Without a Trusted Third Party. - Nadir Khan; Arthur Silitonga; Brian Pachideh; Sven Nitzsche; Jürgen Becker 001 (ARC, 2019)

A Secure Framework with Remote Configuration of Intellectual Property. - Nadir Khan; Sven Nitzsche; Jürgen Becker 001 (ICISSP, 2019)

Fuzzing Framework for ESP32 Microcontrollers. - Matthias Börsig; Sven Nitzsche; Max Eisele; Roland Gröll; Jürgen Becker 001; Ingmar Baumgart (WIFS, 2020)

Neuromorphic Vision mit Spiking Neural Networks zur Sturzerkennung im betreuten Wohnen. - Sven Nitzsche; Brian Pachideh; Victor Pazmino Betancourt; Norbert Link; Christoph Schauer; Lukas Theurer; Valentin Haas; Philipp Marquardt; Sergey Biniaminov; Jürgen Becker 001 (GI-Jahrestagung, 2021)

Ultra-low Power Machinery Fault Detection Using Deep Neural Networks. - Sven Nitzsche; Moritz Neher; Stefan von Dosky; Jürgen Becker 001 (PKDD/ECML Workshops (1), 2021)

Utilizing and Extending Trusted Execution Environment in Heterogeneous SoCs for a Pay-Per-Device IP Licensing Scheme. - Nadir Khan; Sven Nitzsche; Asier Garciandia López; Jürgen Becker 001 (IEEE Trans. Inf. Forensics Secur., 2021)

PREUNN: Protocol Reverse Engineering using Neural Networks. - Valentin Kiechle; Matthias Börsig; Sven Nitzsche; Ingmar Baumgart; Jürgen Becker 001 (ICISSP, 2022)

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. - Tobias Fleck; Svetlana Pavlitska; Sven Nitzsche; Brian Pachideh; Federico Nicolás Peccia; Soikat Hasan Ahmed; Svea Marie Meyer; Mathis Richter; Kevin Broertjes; Emre Neftci; Jürgen Becker 001; Oliver Bringmann 001; et al. (ISC2, 2023)

Towards Hardware-Software Self-Adaptive Acceleration of Spiking Neural Networks on Reconfigurable Digital Hardware. - Brian Pachideh; Christian Zielke; Sven Nitzsche; Jürgen Becker 001 (SOCC, 2023)

Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. - Jann Krausse; Sven Nitzsche; Brian Pachideh; Carmen Weigelt; Klaus Knobloch; Jürgen Becker 001 (ICONS, 2024)

Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. - Alexandru Vasilache; Sven Nitzsche; Daniel Flögel; Tobias Schürmann; Stefan von Dosky; Thomas Bierweiler; Marvin Mußler; Florian Kälber; Sören Hohmann; Jürgen Becker 001 (CoRR, 2024)

A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications. - Alexandru Vasilache; Jona Scholz; Vincent Schilling; Sven Nitzsche; Florian Kälber; Johannes Korsch; Jürgen Becker 001 (CoRR, 2025)

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance. - Alexandru Vasilache; Sven Nitzsche; Christian Kneidl; Mikael Tekneyan; Moritz Neher; Jürgen Becker 001 (CoRR, 2025)