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ORCIDMehdi Baradaran Tahoori
Mehdi B. Tahoori
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- affiliation: Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
[j114]Leon Brackmann
, Tobias Ziegler, Atousa Jafari, Dirk J. Wouters, Mehdi B. Tahoori, Stephan Menzel:
Improved Arithmetic Performance by Combining Stateful and Non-Stateful Logic in Resistive Random Access Memory 1T-1R Crossbars. Adv. Intell. Syst. 6(3) (2024)- [j113]Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori:
Testing for Multiple Faults in Deep Neural Networks. IEEE Des. Test 41(3): 47-53 (2024) - [j112]Mehdi Baradaran Tahoori, Yervant Zorian:
Special Issue on Silicon Lifecycle Management. IEEE Des. Test 41(4): 5-6 (2024) - [j111]Surendra Hemaram, Mehdi B. Tahoori, Francky Catthoor, Siddharth Rao, Sebastien Couet, Valerio Pica, Gouri Sankar Kar:
Soft and Hard Error-Correction Techniques in STT-MRAM. IEEE Des. Test 41(5): 65-82 (2024) - [j110]Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori:
Design-time Reference Current Generation for Robust Spintronic-based Neuromorphic Architecture. ACM J. Emerg. Technol. Comput. Syst. 20(1): 2:1-2:20 (2024) - [j109]Soyed Tuhin Ahmed, Mehdi B. Tahoori:
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3250-3263 (2024) - [c319]Sina Bakhtavari Mamaghani, Priyanjana Pal, Mehdi Baradaran Tahoori:
A Dynamic Testing Scheme for Resistive-Based Computation-In-Memory Architectures. ASPDAC 2024: 509-514 - [c318]Brojogopal Sapui, Mehdi B. Tahoori:
Power Side-Channel Analysis and Mitigation for Neural Network Accelerators based on Memristive Crossbars. ASPDAC 2024: 612-617 - [c317]Surendra Hemaram, Mehdi B. Tahoori, Francky Catthoor, Siddharth Rao, Sebastien Couet, Gouri Sankar Kar:
Hard Error Correction in STT-MRAM. ASPDAC 2024: 752-757 - [c316]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. DATE 2024: 1-6 - [c315]Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations. DATE 2024: 1-6 - [c314]Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI. DATE 2024: 1-6 - [c313]Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris:
On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. DATE 2024: 1-6 - [c312]Paul R. Genssler, Mahta Mayahinia, Simon Thomann, Mehdi B. Tahoori, Hussam Amrouch:
DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling. DATE 2024: 1-6 - [c311]Seyedeh Maryam Ghasemi, Sergej Meschkov, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori:
In-Field Detection of Small Delay Defects and Runtime Degradation Using On-Chip Sensors. DATE 2024: 1-2 - [c310]Mahta Mayahinia, Simon Thomann, Paul R. Genssler, Christopher Münch, Hussam Amrouch, Mehdi B. Tahoori:
Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing. DATE 2024: 1-6 - [c309]Vincent Meyers, Dennis Gnad, Mehdi Baradaran Tahoori:
Out-of-Distribution Detection Using Power-Side Channels for Improving Functional Safety of Neural Network FPGA Accelerators. DATE 2024: 1-2 - [c308]Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori:
Analog Printed Spiking Neuromorphic Circuit. DATE 2024: 1-6 - [c307]Mahboobe Sadeghipour Roodsari, Jonas Krautter, Mehdi B. Tahoori:
OTFGEncoder - HDC: Hardware-efficient Encoding Techniques for Hyperdimensional Computing. DATE 2024: 1-2 - [c306]Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. ETS 2024: 1-6 - [c305]Seyedeh Maryam Ghasemi, Jonas Krautter, Tara Gheshlaghi, Sergej Meschkov, Dennis R. E. Gnad, Mehdi B. Tahoori:
Degradation Monitoring Through Software-controlled On-chip Sensors for RISC-V. ETS 2024: 1-6 - [c304]Dennis Gnad, Martin Gotthard, Jonas Krautter, Angeliki Kritikakou, Vincent Meyers, Paolo Rech, Josie E. Rodriguez Condia, Annachiara Ruospo, Ernesto Sánchez, Fernando Fernandes dos Santos, Olivier Sentieys, Mehdi B. Tahoori, Russell Tessier, Marcello Traiola:
Reliability and Security of AI Hardware. ETS 2024: 1-10 - [c303]Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori:
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. ETS 2024: 1-6 - [c302]Jongsin Yun, Sina Bakhtavari Mamaghani, Mehdi B. Tahoori, Christopher Münch, Martin Keim:
MBIST-based weak bit screening method for embedded MRAM. ETS 2024: 1-4 - [c301]Hassan Nassar, Philipp Machauer, Dennis R. E. Gnad, Lars Bauer, Mehdi B. Tahoori, Jörg Henkel:
Covert-Hammer: Coordinating Power-Hammering on Multi-tenant FPGAs via Covert Channels. FPGA 2024: 43 - [c300]Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi B. Tahoori:
Trained to Leak: Hiding Trojan Side-Channels in Neural Network Weights. HOST 2024: 122-127 - [c299]Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori:
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. HOST 2024: 383-393 - [c298]Brojogopal Sapui, Sergej Meschkov, Mehdi B. Tahoori:
Side-Channel Attack with Fault Analysis on Memristor-based Computation-in-Memory. IOLTS 2024: 1-7 - [c297]Zhe Zhang, Christian Weis, Norbert Wehn, Mehdi B. Tahoori, Sani R. Nassif:
Do Radiation and Aging Impact DVFS? TCAD-based Analysis on 22 nm FDSOI Latches. IOLTS 2024: 1-6 - [c296]Soyed Tuhin Ahmed, Surendra Hemaram, Mehdi B. Tahoori:
NN-ECC: Embedding Error Correction Codes in Neural Network Weight Memories using Multi-task Learning. VTS 2024: 1-7 - [c295]Sina Bakhtavari Mamaghani, Jongsin Yun, Martin Keim, Mehdi B. Tahoori:
Multi-Level Reference for Test Coverage Enhancement of Resistive-Based NVM. VTS 2024: 1-7 - [c294]Mahta Mayahinia, Haneen G. Hezayyin, Mehdi B. Tahoori:
Reliability analysis and mitigation for analog computation-in-memory: from technology to application. VTS 2024: 1-7 - [c293]Kai Su, Mark Giraud, Anne Borcherding, Jonas Krautter, Philipp Nenninger, Mehdi Baradaran Tahoori:
Fuzz Wars: The Voltage Awakens - Voltage-Guided Blackbox Fuzzing on FPGAs. VTS 2024: 1-7 - [c292]Zhe Zhang, Mahta Mayahinia, Christian Weis, Norbert Wehn, Mehdi B. Tahoori, Sani R. Nassif, Grigor Tshagharyan, Gurgen Harutyunyan, Yervant Zorian:
Addressing the Combined Effect of Transistor and Interconnect Aging in SRAM towards Silicon Lifecycle Management. VTS 2024: 1-5 - [i29]Soyed Tuhin Ahmed, Mehdi Baradaran Tahoori:
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint. CoRR abs/2401.01458 (2024) - [i28]Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. CoRR abs/2401.04744 (2024) - [i27]Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI. CoRR abs/2401.06195 (2024) - [i26]Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations. CoRR abs/2401.12416 (2024) - [i25]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs. CoRR abs/2402.02930 (2024) - [i24]Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori:
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. CoRR abs/2403.01860 (2024) - [i23]Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori:
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights. CoRR abs/2405.05286 (2024) - [i22]Soyed Tuhin Ahmed, Mehdi B. Tahoori:
Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector. CoRR abs/2405.18894 (2024) - [i21]Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou, Zdenek Vasícek, Kostas Siozios, Georgios Tzimpragos, Mehdi Baradaran Tahoori, Georgios Zervakis:
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. CoRR abs/2407.20589 (2024) - 2023
- [j108]Soyed Tuhin Ahmed, Mehdi B. Tahoori:
Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration. IEEE Des. Test 40(4): 42-50 (2023) - [j107]Vincent Meyers, Dennis Gnad, Mehdi Baradaran Tahoori:
Active and Passive Physical Attacks on Neural Network Accelerators. IEEE Des. Test 40(5): 70-85 (2023) - [j106]Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 150-164 (2023) - [j105]Vincent Rietz, Christopher Münch, Mahta Mayahinia, Mehdi Baradaran Tahoori:
Timing-accurate simulation framework for NVM-based compute-in-memory architecture exploration. it Inf. Technol. 65(1-2): 13-29 (2023) - [j104]Mirjana Stojilovic, Kasper Rasmussen, Francesco Regazzoni, Mehdi B. Tahoori, Russell Tessier:
A Visionary Look at the Security of Reconfigurable Cloud Computing. Proc. IEEE 111(12): 1548-1571 (2023) - [j103]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. IEEE Trans. Computers 72(9): 2717-2725 (2023) - [j102]Sergej Meschkov, Dennis R. E. Gnad, Jonas Krautter, Mehdi B. Tahoori:
New Approaches of Side-Channel Attacks Based on Chip Testing Methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1411-1424 (2023) - [j101]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. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1490-1503 (2023) - [j100]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3532-3544 (2023) - [j99]Kai Schoos, Sergej Meschkov, Mehdi B. Tahoori, Dennis R. E. Gnad:
JitSCA: Jitter-based Side-Channel Analysis in Picoscale Resolution. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2023(3): 294-320 (2023) - [j98]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. ACM Trans. Embed. Comput. Syst. 22(5s): 131:1-131:25 (2023) - [c291]Mathieu Gross, Jonas Krautter, Dennis Gnad, Michael Gruber, Georg Sigl, Mehdi B. Tahoori:
FPGANeedle: Precise Remote Fault Attacks from FPGA to CPU. ASP-DAC 2023: 358-364 - [c290]Dina A. Moussa, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori:
Automatic Test Pattern Generation and Compaction for Deep Neural Networks. ASP-DAC 2023: 436-441 - [c289]Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jerónimo Castrillón, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng:
Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. CASES 2023: 11-20 - [c288]Mehdi B. Tahoori:
Security Challenges and Opportunities of Cloud FPGAs. CCSW@CCS 2023: 1 - [c287]Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation. DATE 2023: 1-6 - [c286]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE 2023: 1-2 - [c285]Sina Bakhtavari Mamaghani, Christopher Münch, Jongsin Yun, Martin Keim, Mehdi Baradaran Tahoori:
Smart Hammering: A practical method of pinhole detection in MRAM memories. DATE 2023: 1-6 - [c284]Mahta Mayahinia, Hsiao-Hsuan Liu, Subrat Mishra, Zsolt Tokei, Francky Catthoor, Mehdi B. Tahoori:
Electromigration-aware design technology co-optimization for SRAM in advanced technology nodes. DATE 2023: 1-6 - [c283]Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori:
Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks. DATE 2023: 1-2 - [c282]Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Split Additive Manufacturing for Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c281]Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori:
Highly-Bespoke Robust Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c280]Soyed Tuhin Ahmed, Roman Rakhmatullin, Mehdi B. Tahoori:
Online Fault-Tolerance for Memristive Neuromorphic Fabric Based on Local Approximation. ETS 2023: 1-4 - [c279]Mahta Mayahinia, Mehdi Baradaran Tahoori, Grigor Tshagharyan, Gurgen Harutyunyan, Yervant Zorian:
On-chip Electromigration Sensor for Silicon Lifecycle Management of Nanoscale VLSI. ETS 2023: 1-4 - [c278]Brojogopal Sapui, Jonas Krautter, Mahta Mayahinia, Atousa Jafari, Dennis Gnad, Sergej Meschkov, Mehdi B. Tahoori:
Power Side-Channel Attacks and Countermeasures on Computation-in-Memory Architectures and Technologies. ETS 2023: 1-6 - [c277]Lukas Huegle, Martin Gotthard, Vincent Meyers, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori:
Power2Picture: Using Generative CNNs for Input Recovery of Neural Network Accelerators through Power Side-Channels on FPGAs. FCCM 2023: 155-161 - [c276]Vincent Meyers, Mehdi B. Tahoori:
Power Side-Channel Attacks and Defenses for Neural Network Accelerators. FCCM 2023: 239-241 - [c275]Nicolai Müller, Sergej Meschkov, Dennis R. E. Gnad, Mehdi B. Tahoori, Amir Moradi:
Automated Masking of FPGA-Mapped Designs. FPL 2023: 79-85 - [c274]Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori:
Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints. FPL 2023: 259-264 - [c273]Jonas Krautter, Paul R. Genssler, Gloria Sepanta, Hussam Amrouch, Mehdi B. Tahoori:
Stress-Resiliency of AI Implementations on FPGAs. FPL 2023: 333-338 - [c272]Zhenlin Pei, Mahta Mayahinia, Hsiao-Hsuan Liu, Mehdi B. Tahoori, Francky Catthoor, Zsolt Tokei, Chenyun Pan:
Technology/Memory Co-Design and Co-Optimization Using E-Tree Interconnect. ACM Great Lakes Symposium on VLSI 2023: 159-162 - [c271]Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori:
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. ICCAD 2023: 1-9 - [c270]Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. ICCAD 2023: 1-9 - [c269]Seyedeh Maryam Ghasemi, Sergej Meschkov, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori:
SLM ISA and Hardware Extensions for RISC-V Processors. IOLTS 2023: 1-5 - [c268]Z. Zhang, Zhihang Wu, Christian Weis, Norbert Wehn, Mehdi Baradaran Tahoori:
A Learning-Based Approach for Single Event Transient Analysis in Pass Transistor Logic. IOLTS 2023: 1-7 - [c267]Leon Brackmann, Tobias Ziegler, Atousa Jafari, Dirk J. Wouters, Mehdi B. Tahoori, Stephan Menzel:
Design Limitations in Oxide-Based Memristive Ternary Content Addressable Memories. ISCAS 2023: 1-5 - [c266]Zhenlin Pei, Mahta Mayahinia, Hsiao-Hsuan Liu, Mehdi B. Tahoori, Shairfe Muhammad Salahuddin, Francky Catthoor, Zsolt Tokei, Chenyun Pan:
Emerging Interconnect Exploration for SRAM Application Using Nonconventional H-Tree and Center-Pin Access. ISQED 2023: 1 - [c265]Seyedeh Maryam Ghasemi, Sergej Meschkov, Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori:
Enabling In-Field Parametric Testing for RISC-V Cores. ITC 2023: 367-376 - [c264]Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori:
Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters. NANOARCH 2023: 12:1-12:6 - [c263]Surendra Hemaram, Soyed Tuhin Ahmed, Mahta Mayahinia, Christopher Münch, Mehdi B. Tahoori:
A Low Overhead Checksum Technique for Error Correction in Memristive Crossbar for Deep Learning Applications. VTS 2023: 1-7 - [e2]Ronald Tetzlaff, Fernando Corinto, Neil Kemp, Alon Ascoli, Andreas Mögel, Meng-Fan Marvin Chang, Joseph S. Friedman, Siting Liu, John Paul Strachan, Stephan Menzel, Mehdi B. Tahoori, Martin Ziegler, Jason Eshraghian, Ioannis Messaris, Christian Koitzsch, Thomas Mikolajick, Vasileios G. Ntinas:
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023. ACM 2023 [contents] - [i20]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. CoRR abs/2301.11142 (2023) - [i19]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. CoRR abs/2302.14576 (2023) - [i18]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. CoRR abs/2303.08255 (2023) - [i17]Soyed Tuhin Ahmed, Mehdi B. Tahoori:
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection. CoRR abs/2305.09348 (2023) - [i16]Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation. CoRR abs/2306.10185 (2023) - [i15]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. CoRR abs/2311.15816 (2023) - [i14]Giorgos Armeniakos, Paula L. Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi B. Tahoori, Dimitrios Soudris:
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. CoRR abs/2312.01172 (2023) - [i13]Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori:
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. CoRR abs/2312.17612 (2023) - [i12]Vincent Meyers, Dennis R. E. Gnad, Nguyen Minh Dang, Falk Schellenberg, Amir Moradi, Mehdi B. Tahoori:
Stealthy Logic Misuse for Power Analysis Attacks in Multi-Tenant FPGAs (Extended Version). IACR Cryptol. ePrint Arch. 2023: 935 (2023) - 2022
- [j97]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. IEEE Access 10: 105910-105919 (2022) - [j96]Jonas Krautter, Dennis R. E. Gnad, Mehdi B. Tahoori:
Remote Fault Attacks in Multitenant Cloud FPGAs. IEEE Des. Test 39(4): 33-40 (2022) - [j95]Surya A. Singaraju, Dennis D. Weller, Thurid S. Gspann, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori:
Artificial Neurons on Flexible Substrates: A Fully Printed Approach for Neuromorphic Sensing. Sensors 22(11): 4000 (2022) - [j94]Dennis D. Weller, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Fast and Efficient High-Sigma Yield Analysis and Optimization Using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 695-708 (2022) - [j93]Mahta Mayahinia, Mehdi B. Tahoori, Manu Perumkunnil Komalan, Houman Zahedmanesh, Kristof Croes, Tommaso Marinelli, José Ignacio Gómez Pérez, Timon Evenblij, Gouri Sankar Kar, Francky Catthoor:
Time-Dependent Electromigration Modeling for Workload-Aware Design-Space Exploration in STT-MRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5327-5332 (2022) - [c262]Jonas Krautter, Mahta Mayahinia, Dennis R. E. Gnad, Mehdi B. Tahoori:
Data Leakage through Self-Terminated Write Schemes in Memristive Caches. ASP-DAC 2022: 666-671 - [c261]Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori:
In-situ Tuning of Printed Neural Networks for Variation Tolerance. DATE 2022: 72-75 - [c260]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE 2022: 190-195 - [c259]Atousa Jafari, Mahta Mayahinia, Soyed Tuhin Ahmed, Christopher Münch, Mehdi B. Tahoori:
MVSTT: A Multi-Value Computation-in-Memory based on Spin-Transfer Torque Memories. DSD 2022: 332-339 - [c258]Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori:
Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. ETS 2022: 1-2 - [c257]Moritz Fieback, Christopher Münch, Anteneh Gebregiorgis, Guilherme Cardoso Medeiros, Mottaqiallah Taouil, Said Hamdioui, Mehdi B. Tahoori:
PVT Analysis for RRAM and STT-MRAM-based Logic Computation-in-Memory. ETS 2022: 1-6 - [c256]Arunkumar Vijayan, Mehdi B. Tahoori, Ewald Kintzli, Timm Lohmann, Juergen Hans Handl:
A Data-driven Approach for Fault Detection in the Alternator Unit of Automotive Systems. ETS 2022: 1-4 - [c255]Zhe Zhang, Jan Lappas, André Lucas Chinazzo, Christian Weis, Zhihang Wu, Leibin Ni, Norbert Wehn, Mehdi B. Tahoori:
Machine learning based soft error rate estimation of pass transistor logic in high-speed communication. ETS 2022: 1-4 - [c254]Vincent Meyers, Dennis Gnad, Mehdi B. Tahoori:
Reverse Engineering Neural Network Folding with Remote FPGA Power Analysis. FCCM 2022: 1-10 - [c253]