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Transformer pipeline enables full-key side-channel attacks on uncropped datasets

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a straightforward transformer-based pipeline for full-key side-channel attacks on uncropped datasets. This open-source implementation adapts the standard transformer encoder by modifying only the input and output layers for the side-channel context. The system achieves competitive performance on uncropped ASCADv1f, ASCADv1r, and CHES-CTF-2018 datasets, requiring minimal VRAM and training time on a single NVIDIA A6000 GPU. AI

IMPACT Introduces a more accessible method for cryptanalysis using transformer models, potentially impacting security research.

RANK_REASON Academic paper detailing a new methodology for side-channel attacks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Transformer pipeline enables full-key side-channel attacks on uncropped datasets

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Academic paper detailing a new methodology for side-channel attacks. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jimmy Gammell, Kaushik Roy ·

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

    arXiv:2608.30105v1 Announce Type: cross Abstract: 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 resamp…

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