Author

J. Raik

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Preprint Aug 2026

ANTMAN: An Efficient and Interpretable RTL-Level Run-Time Detection Framework for Stealthy Branch Predictor Attacks on BOOM

Runtime detection of microarchitectural side channel attacks remains significantly underexplored in RISCV compared with x86 and ARM ISAs, posing a serious threat to critical applications. State-of-the-art branch predictor attacks bypass traditional data and instruction caches by directly exploiting the state of interna...

Muhammad Hassan, Maria Mushtaq, J. Raik et al. · 0 citations

#machine learning Preprint Sep 2026

Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge

Convolutional Neural Networks (CNNs) are increasingly deployed in safety-critical edge applications, where soft errors can silently corrupt inference outputs and lead to unsafe decisions. Such applications typically rely on resource-constrained embedded GPUs, requiring fault detection and mitigation techniques that add...

Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre et al. · 0 citations