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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…