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QTrojan: A Circuit Backdoor Against Quantum Neural Networks

Chu, Cheng, Jiang, Lei, Swany, Martin, Chen, Fan

arXiv.org Artificial IntelligenceFeb-16-2023

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 success rate by 19.9\%.

artificial intelligence, machine learning, qtrojan, (16 more...)

arXiv.org Artificial Intelligence

2302.0809

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Genre: Research Report (0.40)

Industry: Information Technology > Security & Privacy (0.89)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.88)

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