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A lightweight deep learning model for profiled SCA based on random convolution kernels
Yu Ou, Yongzhuang Wei, René Rodríguez, Fengrong Zhang
Izvirni znanstveni članek
Oznake: side-channel analysis;deep learning;convolution neural networks;random convolution kernel;
In deep learning-based side-channel analysis (DL-SCA), there may be a proliferation of model parameters as the number of trace power points increases, especially in the case of raw power traces. Determining how to design a lightweight deep learning model that can handle a trace with more power point ...
Leto: 2025 Vir: Fakulteta za matematiko, naravoslovje in informacijske tehnologije Koper (UP FAMNIT)
PN-SCA
Yu Ou, Yongzhuang Wei, Changhai Ou, Enes Pašalić
Izvirni znanstveni članek
Oznake: side-channel analysis;deep learning based SCA;prototypical networks;few-shot learning;
Recently, there has been a growing interest in scenarios that employ a few (imbalanced) power traces for deep learning based side-channel analysis (DL-SCA). Finding a lightweight DL-SCA architecture that is more generalizable and faster to learn is of great importance when handling such situations. ...
Leto: 2026 Vir: Repozitorij Univerze na Primorskem (RUP)
Št. zadetkov: 2
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