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English(EN) A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets

Transformer 流水线实现了对未裁剪数据集的全密钥侧信道攻击

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种简单的、基于 Transformer 的流水线，用于对未裁剪数据集进行全密钥侧信道攻击。该开源实现通过仅修改侧信道上下文的输入和输出层来适应标准的 Transformer 编码器。该系统在未裁剪的 ASCADv1f、ASCADv1r 和 CHES-CTF-2018 数据集上实现了具有竞争力的性能，在单个 NVIDIA A6000 GPU 上仅需要最少的 VRAM 和训练时间。 AI

影响 引入了一种使用 Transformer 模型进行密码分析的更易于访问的方法，可能影响安全研究。

排序理由 学术论文，详细介绍了侧信道攻击的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Transformer 流水线实现了对未裁剪数据集的全密钥侧信道攻击

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学术论文，详细介绍了侧信道攻击的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    一种用于未裁剪数据集上全密钥侧信道攻击的简单 Transformer 流水线

    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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