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CNN architecture extraction on edge GPU
The results of the analysis show that neural network architectures are easily distinguishable using deep learning-based side-channel analysis.
Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks
This paper introduces a deep learning modular network for side-channel analysis.
Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks
The absence of an algorithm that effectively monitors deep learning models used in side-channel attacks increases the difficulty of evaluation.
Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis
Due to the constant increase and versatility of IoT devices that should keep sensitive information private, Side-Channel Analysis (SCA) attacks on embedded devices are gaining visibility in the industrial field.
Cryptography and Security
