Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines

21 December 2020

Papers citing "Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines"

3 / 3 papers shown

Title
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 22 33 0 23 Nov 2022
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm S. L. Alarcón Cory E. Merkel Martin Hoffnagle Sabrina Ly Alejandro Pozas-Kerstjens 16 5 0 23 Oct 2022
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 68 171 0 08 Jul 2017