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most citedQuantum Transfer Learning with Adversarial Robustness for Classification of High-Resolution Image Datasets

20 citations · 38 across the 4 of their papers we have counts for

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quant-ph2025

Adversarially Robust Quantum Transfer Learning

Amena Khatun, Muhammad Usman

Quantum machine learning (QML) has emerged as a promising area of research for enhancing the performance of classical machine learning systems by leveraging quantum computational p…

quant-ph2025

Classical Autoencoder Distillation of Quantum Adversarial Manipulations

Amena Khatun, Muhammad Usman

Quantum neural networks have been proven robust against classical adversarial attacks, but their vulnerability against quantum adversarial attacks is still a challenging problem. H…