17 citations · 28 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
quant-ph2023★ 1 cited
CryptoQFL: Quantum Federated Learning on Encrypted Data
Cheng Chu, Lei Jiang, Fan Chen
Recent advancements in Quantum Neural Networks (QNNs) have demonstrated theoretical and experimental performance superior to their classical counterparts in a wide range of applica…
quant-ph2023★ 17 cited
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks
Cheng Chu, Fan Chen, Philip Richerme +1
Quantum neural networks (QNNs) succeed in object recognition, natural language processing, and financial analysis. To maximize the accuracy of a QNN on a Noisy Intermediate Scale Q…
quant-ph2023★ 2 cited
QTrojan: A Circuit Backdoor Against Quantum Neural Networks
Cheng Chu, Lei Jiang, Martin Swany +1
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 va…