arXiv:2610.40701v1 Announce Type: new 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 classifier (VQC) on the Friday DDoS subset of CICIDS2017 and test it against two attacks: label flipping during training and FGSM evasion at prediction time.
FGSM Attack Transferability from Simulation to Quantum Hardware in Network Intrusion Detection
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