Author

Lusi Li

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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. · 0 citations