Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Side-Channel Analysis

ePrint Report: Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Side-Channel Analysis

Trevor Yap Hong Eng, Shivam Bhasin, Léo Weissbart

Side-Channel Analysis (SCA) is critical in evaluating the security of cryptographic implementations. The search for hyperparameters poses a significant challenge, especially when resources are limited. In this work, we explore the efficacy of a multifidelity optimization technique known as BOHB in SCA. In addition, we proposed a new objective function called $ge_{+ntge}$, which could be incorporated into any Bayesian Optimization …

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