Title
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 27 0 0 24 Apr 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 33 0 0 07 Feb 2025
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 34 0 0 11 Nov 2024
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning Luca Candelori Alexander G. Abanov Jeffrey Berger Cameron J. Hogan Vahagn Kirakosyan ... Ryan Samson James E. T. Smith Dario Villani Martin T. Wells Mengjia Xu 24 0 0 19 Sep 2024
Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization Seongmin Kim Tengfei Luo Eungkyu Lee In-Saeng Suh 16 0 0 29 Jul 2024
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks Ji Guo Wenbo Jiang Rui Zhang Wenshu Fan Jiachen Li Guoming Lu AAML 30 1 0 23 Jul 2024
Probing many-body Bell correlation depth with superconducting qubits Ke Wang Weikang Li Shibo Xu Mengyao Hu Jiachen Chen ... Patrick Emonts Jordi Tura Chao Song H. Wang Dong-Ling Deng 24 7 0 25 Jun 2024
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises Zhihan Zhang Weiyuan Gong Weikang Li Dong-Ling Deng 14 8 0 01 May 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 11 8 0 24 Apr 2024
Quantum Adversarial Learning for Kernel Methods Giuseppe Montalbano L. Banchi AAML 16 4 0 08 Apr 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 30 2 0 20 Feb 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers Gautham Anil Vishnu Vinod Apurva Narayan AAML 13 4 0 13 Feb 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 17 3 0 13 Dec 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 15 12 0 20 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 16 7 0 08 Nov 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 28 12 0 20 Sep 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 43 1 0 19 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 22 59 0 30 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 22 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 51 0 22 Jun 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 11 1 0 21 Jun 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 36 22 0 29 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 16 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 14 33 0 23 Nov 2022
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 8 5 0 02 Nov 2022
QSAN: A Near-term Achievable Quantum Self-Attention Network Jinjing Shi Ren-Xin Zhao Wenxuan Wang Shenmin Zhang Xuelong Li 19 20 0 14 Jul 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 18 80 0 07 Jun 2022
Quantum Neural Network Classifiers: A Tutorial Weikang Li Zhide Lu D. Deng 6 32 0 06 Jun 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 25 18 0 05 Jan 2022
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 24 26 0 12 Jul 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016