QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks-Reference-Cited by-同舟云学术

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QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Chu Cheng¹,Chen Fan¹,Richerme Philip²,Jiang Lei¹

Affiliation:

1. Intelligent Systems Engineering

2. Indiana University,Department of Physics,Bloomington

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313590/10313591/10313848.pdf?arnumber=10313848

Reference30 articles.

1. Data encoding patterns for quantum computing;weigold;ACM Conference on Pattern Languages of Programs,0

2. Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks

3. QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

4. Empirical evaluation of circuit approximations on noisy quantum devices

5. Qiskit pulse: programming quantum computers through the cloud with pulses

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NISQ Quantum Computing: A Security-Centric Tutorial and Survey [Feature];IEEE Circuits and Systems Magazine;2024

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