Verifying Fairness in Quantum Machine Learning

22 July 2022

Papers citing "Verifying Fairness in Quantum Machine Learning"

6 / 6 papers shown

Title
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 29 0 0 24 Apr 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models Sajjad Hashemian Mohammad Saeed Arvenaghi 53 0 0 11 Mar 2025
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing Theshani Nuradha Mark M. Wilde 29 6 0 26 Jun 2024
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks Ruhan Wang Fahiz Baba-Yara Fan Chen 27 1 0 17 Mar 2024
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 23 9 0 15 Jan 2024
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems Theshani Nuradha Ziv Goldfeld Mark M. Wilde 30 13 0 22 Jun 2023