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A Review and Comparison of AI Enhanced Side Channel Analysis
In this work, we will examine the latest state-of-the-art deep learning techniques for side channel analysis, the theory behind them, and how they are conducted.
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
As a result, our theoretical proofs provide support to more efficient active learning methods with the help of adversarial examples, contrary to previous works where adversarial examples are often used as destructive solutions.
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