Preprint
Jul 2026
Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks
Experiments show that Q-DIBA achieves high clean accuracy, strong attack success, and high cross-trigger accuracy, suggesting effectiveness, stealthiness, and input specificity, suggesting that input-aware quantum backdoors are an important threat to secure QNN deployment.
Junrui Zhang, Zemin Chen, Lusi Li et al.
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