Quantum noise protects quantum classifiers against adversaries

20 March 2020

Papers citing "Quantum noise protects quantum classifiers against adversaries"

50 / 51 papers shown

Title
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 30 0 0 02 May 2025
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
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
QFAL: Quantum Federated Adversarial Learning Walid El Maouaki Nouhaila Innan Alberto Marchisio Taoufik Said Mohamed Bennai Muhammad Shafique FedML 50 4 0 28 Feb 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
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks Ji Guo Wenbo Jiang Rui Zhang Wenshu Fan Jiachen Li Guoming Lu AAML 35 1 0 23 Jul 2024
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing Theshani Nuradha Mark M. Wilde 29 6 0 26 Jun 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 Modified Depolarization Approach for Efficient Quantum Machine Learning Bikram Khanal Pablo Rivas 28 3 0 10 Apr 2024
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy Yusheng Zhao Hui Zhong Xinyue Zhang Yuqing Li Chi Zhang Miao Pan 31 3 0 14 Mar 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers Gautham Anil Vishnu Vinod Apurva Narayan AAML 19 4 0 13 Feb 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
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 15 19 0 07 Dec 2023
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
Federated Quantum Machine Learning with Differential Privacy Rod Rofougaran Shinjae Yoo Huan-Hsin Tseng Samuel Yen-Chi Chen FedML 23 20 0 10 Oct 2023
Learning unitaries with quantum statistical queries Armando Angrisani 23 6 0 03 Oct 2023
Learning Quantum Processes with Quantum Statistical Queries Chirag Wadhwa Mina Doosti 43 3 0 03 Oct 2023
Detecting Violations of Differential Privacy for Quantum Algorithms J. Guan Wang Fang Mingyu Huang Mingsheng Ying 34 11 0 09 Sep 2023
Maximal Information Leakage from Quantum Encoding of Classical Data F. Farokhi 27 5 0 24 Jul 2023
A unifying framework for differentially private quantum algorithms Armando Angrisani Mina Doosti E. Kashefi FedML 19 9 0 10 Jul 2023
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems Theshani Nuradha Ziv Goldfeld Mark M. Wilde 30 13 0 22 Jun 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
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 22 1 0 21 Jun 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 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
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer Chen-Yu Liu Hsin-Yu Wang Pei-Yen Liao Ching-Jui Lai Min-hsiu Hsieh LRM 21 14 0 24 Oct 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 31 3 0 26 Sep 2022
Verifying Fairness in Quantum Machine Learning J. Guan Wang Fang Mingsheng Ying FaML 11 11 0 22 Jul 2022
Quantum Noise-Induced Reservoir Computing T. Kubota Yudai Suzuki Shumpei Kobayashi Q. Tran Naoki Yamamoto Kohei Nakajima 19 4 0 16 Jul 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 28 88 0 04 Apr 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 16 12 0 07 Mar 2022
Quantum Local Differential Privacy and Quantum Statistical Query Model Armando Angrisani E. Kashefi 29 11 0 07 Mar 2022
Quantum Differential Privacy: An Information Theory Perspective C. Hirche Cambyse Rouzé Daniel Stilck França 28 59 0 22 Feb 2022
Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery Junde Li Swaroop Ghosh BDL DRL 21 11 0 15 Nov 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 26 44 0 06 Oct 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 25 84 0 30 Aug 2021
Quantum Continual Learning Overcoming Catastrophic Forgetting Wenjie Jiang Zhide Lu D. Deng 24 10 0 05 Aug 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 30 68 0 31 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 11 82 0 15 Mar 2021
Quantum machine learning with differential privacy William Watkins Samuel Yen-Chi Chen Shinjae Yoo 21 47 0 10 Mar 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Quantum Fair Machine Learning Elija Perrier FaML 16 14 0 01 Feb 2021
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing Maurice Weber Nana Liu Bo-wen Li Ce Zhang Zhikuan Zhao AAML 29 28 0 21 Sep 2020
Robustness Verification of Quantum Classifiers J. Guan Wang Fang Mingsheng Ying AAML 19 22 0 17 Aug 2020
Quantum Differentially Private Sparse Regression Learning Yuxuan Du Min-hsiu Hsieh Tongliang Liu Shan You Dacheng Tao 21 29 0 23 Jul 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 21 101 0 31 Dec 2019