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quant-ph2026
Backdoor Threats in Variational Quantum Circuits: Taxonomy, Attacks, and Defenses
Lei Jiang, Fan Chen
Variational quantum algorithms (VQAs) are a central paradigm for noisy intermediate-scale (NISQ) quantum computing, yet their reliance on predesigned and pretrained variational qua…
quant-ph2025
CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
Zhenxiao Fu, Leyi Zhao, Xuhong Zhang +3
Quantum Neural Networks (QNNs) have shown significant value across domains, with well-trained QNNs representing critical intellectual property often deployed via cloud-based QNN-as…
quant-ph2025
Quantum Neural Network Extraction Attack via Split Co-Teaching
Zhenxiao Fu, Fan Chen
Quantum Neural Networks (QNNs), now offered as QNN-as-a-Service (QNNaaS), have become key targets for model extraction attacks. Existing methods use ensemble learning to train subs…