14 citations · 14 across the 2 of their papers we have counts for
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quant-ph2024
VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models
Yanling Lin, Ji Guan, Wang Fang +2
Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noi…
quant-ph2023★ 14 cited
Detecting Violations of Differential Privacy for Quantum Algorithms
Ji Guan, Wang Fang, Mingyu Huang +1
Quantum algorithms for solving a wide range of practical problems have been proposed in the last ten years, such as data search and analysis, product recommendation, and credit sco…
quant-ph2022
Verifying Fairness in Quantum Machine Learning
Ji Guan, Wang Fang, Mingsheng Ying
Due to the beyond-classical capability of quantum computing, quantum machine learning is applied independently or embedded in classical models for decision making, especially in th…