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Methodology for Efficient CNN Architectures in Profiling Attacks
Side-Channel Attacks Deep Learning Architecture
2019/7/15
The side-channel community has recently investigated a new approach, based on deep learning, to significantly improve profiled attacks against embedded systems. Previous works have shown the benefit o...
Gradient Visualization for General Characterization in Profiling Attacks
Side Channel Analysis Profiling Attacks Deep Learning,
2018/12/19
Past few years have seen the emergence of Machine Learning and Deep Learning algorithms as promising tools for profiling attacks, especially Convolutional Neural Networks (CNN). The latters have indee...
Convolutional Neural Networks with Data Augmentation against Jitter-Based Countermeasures -- Profiling Attacks without Pre-Processing --
side channel attacks machine learning deep learning
2017/8/10
In the context of the security evaluation of cryptographic implementations, profiling attacks (aka Template Attacks) play a fundamental role. Nowadays the most popular Template Attack strategy consist...