Quantum Adversarial Learning for Kernel Methods

no code implementations • 8 Apr 2024 • Giuseppe Montalbano, Leonardo Banchi

We show that hybrid quantum classifiers based on quantum kernel methods and support vector machines are vulnerable against adversarial attacks, namely small engineered perturbations of the input data can deceive the classifier into predicting the wrong result.

Data Augmentation