English(EN) FGSM Attack Transferability from Simulation to Quantum Hardware in Network Intrusion Detection

FGSM攻击从仿真迁移到真实量子硬件用于网络入侵检测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 05:00

研究人员调查了对抗性攻击（特别是快速梯度符号法，FGSM）在网络入侵检测中从仿真到真实量子硬件的迁移性。他们在一个DDoS数据集上训练了一个变分量子分类器，并在模拟和实际的IBM量子处理器上测试了其对抗FGSM规避和标签翻转攻击的能力。研究发现，准确率相似的模型可能对攻击的脆弱性差异很大，置信度较低的模型更容易受到微小输入变化的影响。重要的是，在仿真中开发的攻击在真实硬件上被证明是有效的，而模拟设备噪声并没有增强安全性，反而通过降低置信度使模型更加脆弱。 AI

影响这项研究突显了用于网络入侵检测等关键应用的量子机器学习模型潜在的安全漏洞，表明模拟攻击可以为现实世界的安全评估提供信息。

排序理由该项目是一篇学术论文，详细介绍了关于量子分类器对抗性攻击的研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Zeeshan Ajmal, Kimmo Halunen, Marc Mau{\ss}ner, Volker Reers, Arif Ali Khan · 2026-11-02 05:00

FGSM Attack Transferability from Simulation to Quantum Hardware in Network Intrusion Detection

arXiv:2610.40701v1 Announce Type: cross Abstract: Quantum computers are now available through cloud platforms, and recent work has proposed using them to detect network intrusions. It is not yet clear how easily such systems can be attacked. We train a hybrid variational quantum …

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FGSM Attack Transferability from Simulation to Quantum Hardware in Network Intrusion Detection

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