{"total":26,"rows":[{"id":"2306.12688","title":"Towards quantum enhanced adversarial robustness in machine learning","created":"2023-06-22","cited_by_count":28,"area":null},{"id":"2212.11614","title":"Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation","created":"2022-12-22","cited_by_count":22,"area":null},{"id":"2311.11871","title":"Training robust and generalizable quantum models","created":"2023-11-20","cited_by_count":21,"area":null},{"id":"2307.00908","title":"Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications","created":"2023-07-03","cited_by_count":14,"area":null},{"id":"2404.16154","title":"A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models","created":"2024-04-24","cited_by_count":12,"area":null},{"id":"2405.10360","title":"Adversarial Robustness Guarantees for Quantum Classifiers","created":"2024-05-16","cited_by_count":9,"area":null},{"id":"2404.16417","title":"Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning","created":"2024-04-25","cited_by_count":5,"area":null},{"id":"2402.00176","title":"Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis","created":"2024-01-31","cited_by_count":3,"area":null},{"id":"2507.06262","title":"Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method","created":"2025-07-07","cited_by_count":3,"area":null},{"id":"2305.19593","title":"Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2312.07821","title":"Radio Signal Classification by Adversarially Robust Quantum Machine Learning","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2502.20403","title":"Adversarial Robustness of Partitioned Quantum Classifiers","created":"2025-01-28","cited_by_count":2,"area":null},{"id":"2308.04082","title":"Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK","created":"2023-08-08","cited_by_count":1,"area":null},{"id":"2407.18021","title":"Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis","created":"2024-07-25","cited_by_count":1,"area":null},{"id":"2504.17690","title":"On the Generalization of Adversarially Trained Quantum Classifiers","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2505.16714","title":"Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2508.19381","title":"Towards Quantum Machine Learning for Malicious Code Analysis","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2601.11500","title":"QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Grid","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2411.06863","title":"Computable Model-Independent Bounds for Adversarial Quantum Machine Learning","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2504.03315","title":"Detecting underdetermination in parameterized quantum circuits","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2506.08455","title":"The interplay of robustness and generalization in quantum machine learning","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2506.16000","title":"Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2601.02432","title":"Quantifying Quanvolutional Neural Networks Robustness for Speech in Healthcare Applications","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2604.10933","title":"QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.28176","title":"Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2609.05702","title":"Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access","created":"2026-09-04","cited_by_count":0,"area":null}],"next_cursor":null}