Dr.-Ing. Michael Hefenbrock

Publications

Journals
V Meyers, M Hefenbrock, D Gnad, M Tahoori
Leveraging Neural Trojan Side-Channels for Output Exfiltration
in Cryptography 9 (1), DOI, PDF, Jan 2025.
Dina A. Moussa; Michael Hefenbrock; Mehdi Tahoori
Testing for Multiple Faults in Deep Neural Networks
in IEEE Design & Test (Volume 41, Issue 3), DOI, PDF, June 2024.
Soyed Tuhin Ahmed, M Mayahinia, M Hefenbrock, C Münch, MB Tahoori
Design-Time Reference Current Generation for Robust Spintronic-Based Neuromorphic Architecture
in ACM Journal on Emerging Technologies in Computing Systems 20 (JETC), DOI, PDF, Jan 2024.
Ahmed, Soyed Tuhin; Danouchi, Kamal; Hefenbrock, Michael; Prenat, Guillaume; Anghel, Lorena; Tahoori, Mehdi B.
Algorithm-Hardware Co-Design for Uncertainty Estimation on Spintronic-Based Architectures
in ACM Transactions on Embedded Computing System (EsWeek Special Issue, Volume 22, Issue 5s), DOI, PDF, Oct 2023.
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures
in ACM Transactions on Embedded Computing Systems (Volume 22, Issue 5s) , DOI, PDF, Sep 2023.
Soyed Tuhin Ahmed; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori
NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (Volume 42, Issue 5), DOI, PDF, May 2023.
Ahmet Turan Erozan; Michael Hefenbrock; Dennis R. E. Gnad; Michael Beigl; Jasmin Aghassi-Hagmann; Mehdi B. Tahoori
Counterfeit Detection and Prevention in Additive Manufacturing based on Unique Identification of Optical Fingerprints of Printed Structures
in IEEE Access, DOI, PDF, Sep 2022.
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022.
Michael Hefenbrock; Dennis D. Weller; Jasmin Aghassi-Hagmann; Michael Beigl; Mehdi B. Tahoori
In-situ Tuning of Printed Neural Networks for Variation Tolerance
in Design, Automation & Test in Europe Conference & Exhibition (DATE), DOI, PDF, Mar 2022.
Dennis D. Weller; Michael Hefenbrock; Michael Beigl; Mehdi B. Tahoor
Fast and Efficient High-Sigma Yield Analysis and Optimization using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, Volume 41, Issue 3), DOI, PDF, Mar 2022.
D. D. Weller, M. Hefenbrock, M. Beigl, J. Aghassi-Hagmann, and M. B. Tahoori
Realization and training of an inverter-based printed neuromorphic computing system
n Nature Scientific Reports, 2021.
Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori
Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, Volume 39, Issue 10), DOI, PDF, Oct 2020.
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Crossover-aware placement and routing for inkjet printed circuits
in Journal on Emerging Technologies in Computing Systems (JETC, Volume 16, Issue 2), DOI, PDF, Apr 2020.
Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction
in IEEE Transactions on Information Forensics & Security (TIFS, Volume 15), DOI, PDF, 2020.
F. Rasheed, M. Hefenbrock, M. Beigl, M. Tahoori and J. Aghassi-Hagmann
Variability Modeling for Printed Inorganic Electrolyte-Gated Transistors and Circuits
in Special Issue of IEEE Transactions on Electron Devices (TED), 2018.
X. Feng, C. Punckt , G. C. Marques, M. Hefenbrock, M. B. Tahoori, and J. Aghassi-Hagmann
Non-Quasi-Static Capacitance Modeling and Characterization for Printed Inorganic Electrolyte-gated Transistors in Logic Gates
in IEEE Transactions on Electron Devices (TED), 2019.
Haibin Zhao; Priyanjana Pal; Michael Hefenbrock; Yuhong Wang; Michael Beigl; Mehdi B. Tahoori
Neural Evolutionary Architecture Search for Compact Printed Analog Neuromorphic Circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (Volume 44, Issue 7), DOI, PDF, Jul 2025.
DA Moussa, M Hefenbrock, M Tahoori
Compressed Test Pattern Generation for Deep Neural Networks
in IEEE Transactions on Computers (Volume 74, Issue 1), DOI, PDF, Jan 2025.
Conferences
Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Power-Constrained Printed Neuromorphic Hardware Training
in 62nd ACM/IEEE Design Automation Conference (DAC), DOI, PDF, Jun 2025.
Tara Gheshlaghi, Priyanjana Pal, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters
in Design, Automation & Test in Europe Conference (DATE), DOI, PDF, Mar 2025.
V. Meyers, M. Hefenbrock, M. Sadeghipourrudsari, D. Gnad, M. Tahoori
Towards Functional Safety of Neural Network Hardware Accelerators: Concurrent Out-of-Distribution Detection in Hardware Using Power Side-Channel Analysis
in Proceedings of the 30th Asia and South Pacific Design Automation Conference (ASPDAC), DOI, PDF, Mar 2025.
Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits
ICCAD '24: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, DOI, PDF, Oct 2024.
Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights
in ICCAD '24: Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, DOI, PDF, Oct 2024.
Priyanjana Pal; Florentia Afentaki; Haibin Zhao; Gurol Saglam; Michael Hefenbrock; Georgios Zervakis
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers
in IEEE European Test Symposium (ETS), DOI, PDF, May 2024.
Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Tahoori
Trained to Leak: Hiding Trojan Side-Channels in Neural Network Weights
in IEEE International Symposium on Hardware Oriented Security and Trust (HOST), DOI, PDF, May 2024.
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
in IEEE Design Automation & Test in Europe 2024 Conference (DATE’24), Valencia, Spain, DOI, PDF, 2024.
Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori
Analog Printed Spiking Neuromorphic Circuit
in 27th Design, Automation and Test in Europe Conference (DATE'24), DOI, PDF, Mar 2024.
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori
Towards Temporal Information Processing – Printed Neuromorphic Circuits with Learnable Filters
in 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), Dresden, Deutschland, DOI, PDF, Dec 2023.
Haibin Zhao; Priyanjana Pal; Michael Hefenbrock; Michael Beigl; Mehdi B. Tahoori
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits
in IEEE/ACM International Conference on Computer Aided Design (ICCAD), DOI, PDF, Oct 2023.
Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Tahoori
Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints
in 33rd International Conference on Field-Programmable Logic and Applications (FPL), DOI, PDF, Sep 2023.
Haibin Zhao; Brojogopal Sapui; Michael Hefenbrock; Zhidong Yang; Michael Beigl; Mehdi B. Tahoori
Highly-Bespoke Robust Printed Neuromorphic Circuits
in Design, Automation and Test in Europe Conference & Exhibition (DATE), DOI, PDF, Apr 2023.
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation
in Design, Automation and Test in Europe Conference, DOI, PDF, Apr 2023.
Dina A. Moussa, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
Automatic test pattern generation and compaction for deep neural networks
in Proceedings of the 28th Asia and South Pacific Design Automation Conference (ASPDAC), DOI, PDF, Jan 2023.
Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Aging-Aware Training for Printed Neuromorphic Circuits
in 41st IEEE/ACM International Conference on Computer-Aided Design, DOI, PDF, Oct 2022.
Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, and Mehdi B. Tahoori
Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric
IEEE European Test Symposium (ETS), DOI, PDF, May 2022.
Soyed Tuhin Ahmed; Michael Hefenbrock; Christopher Münch; Mehdi B. Tahoori
NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories
in IEEE European Test Symposium (ETS, DOI, PDF, May 2021.
Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori
Printed Stochastic Computing Neural Networks
in Design, Automation & Test in Europe Conference & Exhibition (DATE), DOI, PDF, Feb 2021.
Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori
Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling
in Design, Automation & Test in Europe Conference & Exhibition (DATE), DOI, PDF, Mar 2020.
Dennis D. Weller; Michael Hefenbrock; Mehdi B. Tahoori; Jasmin Aghassi-Hagmann; Michael Beigl
Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors
in 25th Asia and South Pacific Design Automation Conference (ASP-DAC), DOI, PDF, Jan 2020.
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Predictive Modeling and Design Automation of Inorganic Printed Electronics
in Design, Automation & Test in Europe Conference & Exhibition (DATE), DOI, PDF, Mar 2019.
Invited paper
Dennis D. Weller; Michael Hefenbrock; Mohammad S. Golanbari; Michael Beigl; Mehdi B. Tahoori
Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation
in Design, Automation & Test in Europe Conference & Exhibition (DATE), DOI, PDF, Mar 2019.
DA Moussa, M Hefenbrock, M Tahoori
Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks
in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024.
arXiv
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
in arXiv, DOI, PDF, Nov 2023.
Ahmed, Soyed Tuhin; Danouchi, Kamal; Hefenbrock, Michael; Prenat, Guillaume; Anghel, Lorena; Tahoori, Mehdi B.
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation
arXiv preprint arXiv:2306.10185, 2023.