Predominant Aspects on Security for Quantum Machine Learning: Literature
Review

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Predominant Aspects on Security for Quantum Machine Learning: Literature Review

International Conference on Quantum Computing and Engineering (QCE), 2024

15 January 2024

Alona Sakhnenko

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Papers citing "Predominant Aspects on Security for Quantum Machine Learning: Literature Review"

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Title
Security Vulnerabilities in Quantum Cloud Systems: A Survey on Emerging Threats Justin Coupel Tasnuva Farheen 212 1 0 27 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 364 1 0 17 Apr 2025
Computable Model-Independent Bounds for Adversarial Quantum Machine LearningIEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2024 Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 189 0 0 11 Nov 2024
Quantum Machine Learning: Performance and Security Implications in Real-World Applications Z. Luo Tyler Stewart M. Narasareddygari Rui Duan Shangqing Zhao 52 1 0 08 Aug 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 210 3 0 25 Apr 2024