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quant-ph2026
Controlled Steering-Based State Preparation for Adversarial-Robust Quantum Machine Learning
Sahan Sanjaya, Hari Krishna Parvatham, Emma Andrews +1
Quantum machine learning (QML) provides a promising framework for leveraging quantum-mechanical effects in learning tasks. However, its vulnerability to adversarial perturbations r…
quant-ph2026
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
Emma Andrews, Sahan Sanjaya, Prabhat Mishra
Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully craft…