Optimal Provable Robustness of Quantum Classification via Quantum
Hypothesis Testing

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing

21 September 2020

Papers citing "Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing"

17 / 17 papers shown

Title
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 51 0 0 17 Apr 2025
Certifiably Robust Encoding Schemes Aman Saxena Tom Wollschlager Nicola Franco J. M. Lorenz Stephan Günnemann OOD AAML 40 1 0 02 Aug 2024
Discrete Randomized Smoothing Meets Quantum Computing Md. Nazmus Sakib Aman Saxena Nicola Franco Md Mashrur Arifin Stephan Günnemann AAML 29 1 0 01 Aug 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 21 3 0 25 Apr 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 25 9 0 15 Jan 2024
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses David Winderl Nicola Franco J. M. Lorenz AAML 47 7 0 29 Nov 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 21 12 0 20 Nov 2023
Maximal Information Leakage from Quantum Encoding of Classical Data F. Farokhi 32 5 0 24 Jul 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 16 53 0 22 Jun 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 22 33 0 23 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise Jhih-Cing Huang Yu-Lin Tsai Chao-Han Huck Yang Cheng-Fang Su Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo AAML 18 20 0 02 Nov 2022
Verifying Fairness in Quantum Machine Learning J. Guan Wang Fang Mingsheng Ying FaML 19 11 0 22 Jul 2022
Recent advances for quantum classifiers Weikang Li D. Deng AAML 33 84 0 30 Aug 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines Aidan Kehoe P. Wittek Yanbo Xue Alejandro Pozas-Kerstjens AAML 19 7 0 21 Dec 2020
Robustness Verification of Quantum Classifiers J. Guan Wang Fang Mingsheng Ying AAML 22 22 0 17 Aug 2020