SOURCE-LINKED INTELLIGENCE

A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

Deep learning-based side-channel analysis has historically focused on single-byte targets and manually cropped traces, which risks discarding exploitable leakage. While recent work has proposed specialized architectures and resampling techniques to address this gap, the literature lacks a simple transformer baseline for simultaneous full-key attacks on uncropped traces. We present an open-source transformer implementation for uncropped full-key attacks which uses the standard transformer encoder backbone, adapting only the input and output layers to the side-channel setting. We release our imp

Read original source ↗ Open in workspace

recordType

paper

region

Global