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QTrojan: A Circuit Backdoor Against Quantum Neural Networks. (arXiv:2302.08090v1 [quant-ph])
cs.CR updates on arXiv.org arxiv.org
We propose a circuit-level backdoor attack, \textit{QTrojan}, against Quantum
Neural Networks (QNNs) in this paper. QTrojan is implemented by few quantum
gates inserted into the variational quantum circuit of the victim QNN. QTrojan
is much stealthier than a prior Data-Poisoning-based Backdoor Attack (DPBA),
since it does not embed any trigger in the inputs of the victim QNN or require
the access to original training datasets. Compared to a DPBA, QTrojan improves
the clean data accuracy by 21\% and the attack …
access attack backdoor data datasets inputs networks neural networks poisoning quantum training trigger victim