1 citations · 1 across the 4 of their papers we have counts for
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Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks
Servio Paguada, Lejla Batina, Ileana Buhan +1
This paper introduces a deep learning modular network for side-channel analysis. Our deep learning approach features the capability to exchange part of it (modules) with others net…
Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks
Servio Paguada, Lejla Batina, Ileana Buhan +1
The absence of an algorithm that effectively monitors deep learning models used in side-channel attacks increases the difficulty of evaluation. If the attack is unsuccessful, the q…
Keep It Unbiased: A Comparison Between Estimation of Distribution Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis
Unai Rioja, Lejla Batina, Igor Armendariz +1
Evaluating side-channel analysis (SCA) security is a complex process, involving applying several techniques whose success depends on human engineering. Therefore, it is crucial to…
Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis
Unai Rioja, Lejla Batina, Jose Luis Flores +1
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 visi…
The uncertainty of Side-Channel Analysis: A way to leverage from heuristics
Unai Rioja, Servio Paguada, Lejla Batina +1
Performing a comprehensive side-channel analysis evaluation of small embedded devices is a process known for its variability and complexity. In real-world experimental setups, the…