Feb 16, 2023 · Abstract:We propose a circuit-level backdoor attack, \textit{QTrojan}, against Quantum Neural Networks (QNNs) in this paper.

We propose a circuit-level backdoor attack, QTrojan, against Quantum Neural Networks (QNNs) in this paper. QTrojan is implemented by a few quantum gates ...

Compared to a DPBA, QTrojan improves the clean data accu- racy by 21% and the attack success rate by 19.9%. Index Terms— Quantum Neural Network, Variational.

Jun 4, 2023 · We propose a circuit-level backdoor attack, QTrojan, against Quantum Neural Networks (QNNs) in this paper. QTrojan is implemented by a few ...

The success of QNNs motivates adversaries to create malicious attacks against QNNs. Among all malware, backdoor attack [5], [6], [7] is one of the most ...

QTrojan: A Circuit Backdoor Against Quantum Neural Networks. Citation Author(s):: Submitted by: Fan Chen; Last updated: 24 May 2023 - 9:58am; Document Type:.

Oct 22, 2024 · We propose a circuit-level backdoor attack, \textit{QTrojan}, against Quantum Neural Networks (QNNs) in this paper. QTrojan is implemented ...

Jul 13, 2023 · The success of QNNs motivates adversaries to attack QNNs via backdoors. However, naïvely transplanting backdoors designed for classical neural ...

QTrojan: A Circuit Backdoor Against Quantum Neural Networks. Cheng Chu; Lei Jiang; Martin Swany; and Fan Chen. In IEEE International Conference on Acoustics ...

QTROJAN: A Circuit Backdoor Against Quantum Neural Networks · Cheng ChuLei ... A circuit-level backdoor attack against Quantum Neural Networks (QNNs) ...