Benchmarking Adversarially Robust Quantum Machine Learning at Scale

Benchmarking Adversarially Robust Quantum Machine Learning at Scale

23 November 2022

Maxwell T. West

Lloyd C. L. Hollenberg

Papers citing "Benchmarking Adversarially Robust Quantum Machine Learning at Scale"

17 / 17 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
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 37 0 0 11 Nov 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
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 18 8 0 24 Apr 2024
Quantum Cloud Computing: A Review, Open Problems, and Future Directions H. T. Nguyen P. Krishnan Dilip Krishnaswamy Muhammad Usman Rajkumar Buyya 31 15 0 17 Apr 2024
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis Petros Georgiou Sharu Theresa Jose Osvaldo Simeone AAML 22 4 0 31 Jan 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
Radio Signal Classification by Adversarially Robust Quantum Machine Learning Yanqiu Wu E. Adermann Chandra Thapa S. Çamtepe Hajime Suzuki Muhammad Usman AAML 19 3 0 13 Dec 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 21 12 0 20 Nov 2023
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK Florian J. Kiwit M. Marso Philipp Ross Carlos A. Riofrío Johannes Klepsch André Luckow 20 10 0 08 Aug 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 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 11 53 0 22 Jun 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 18 7 0 31 May 2023
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation S. Tsang Maxwell T. West S. Erfani Muhammad Usman GAN 8 32 0 22 Dec 2022
A kernel-based quantum random forest for improved classification Maiyuren Srikumar C. Hill Lloyd C. L. Hollenberg 14 13 0 05 Oct 2022
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016