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PEAR: Non-Volatile Memory PUF with Endurance- Aware Resilience against Learning-based Attacks
Physical Unclonable Functions (PUFs) based on Non-Volatile Memory (NVM) technology have emerged as a promising solution for secure …
Hassan Nassar, Ming-Liang Wei, Chia-Lin Yang, Jörg Henkel, Kuan-Hsun Chen
TrackScorer: Skyrmion Logic-in-Memory Accelerator for Tree-based Ranking Models
Racetrack memories (RTMs) have been shown to have lower leakage power and higher density compared to traditional DRAM/SRAM …
Elijah Seth Cishugi, Sebastian Buschjäger, Martijn Noorlander, Marco Ottavi, Kuan-Hsun Chen
Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties
The rapid growth of electric vehicle fleets in combination with the limited capacities of power grids necessitates coordinated charging …
Leoni Winschermann, Mario Günzel, Kuan-Hsun Chen, Johann Hurink
An Enhanced Fault Injection Framework for FPGA-Based Soft-Cores
Contemporary space system architectures necessitate rigorous validation to ensure robust performance post-deployment. Fault injection …
Tijmen T. Smit, Bruno Endres Forlin, Kuan-Hsun Chen, Ioanna Souvatzoglou, Mihalis Psarakis, Marco Ottavi
Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance
Racetrack memory (RTM) is a promising non-volatile memory (NVM) technology that offers exceptional density, power and performance …
Leonard David Bereholschi, Mikail Yayla, Jian-Jia Chen, Kuan-Hsun Chen, Asif-Ali Khan
Language-Based Deployment Optimization for Random Forest
Arising popularity for resource-efficient machine learning models makes random forests and decision trees famous models in recent …
Jannik Malcher, Daniel Biebert, Kuan-Hsun Chen, Sebastian Buschjäger, Christian Hakert, Jian-Jia Chen
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Flint: Exploiting floating point enabled integer arithmetic for efficient random forest inference
In many machine learning applications, e.g., tree-based ensembles, floating point numbers are extensively utilized due to their …
Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen
Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes
Evaluating performance metrics in embedded systems poses challenges, particularly due to the limited set of tools available for …
Bruno Endres Forlin, Kuan-Hsun Chen, Nikolaos Alachiotis, Luca Cassano, Marco Ottavi
Accelerated Real-Time Classification of Evolving Data Streams using Adaptive Random Forests
Machine learning is increasingly applied to a wide range of real-time applications, with classification tasks playing a critical role …
Frank Ridder, Kuan-Hsun Chen, Nikolaos Alachiotis
Probabilistic Reaction Time Analysis

In many embedded systems, for instance, in the automotive, avionic, or robotics domain, critical functionalities are implemented via …

Mario Günzel, Niklas Ueter, Georg Chen, Kuan-Hsun von der Brüggen, Jian-Jia Chen
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