Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis

31 May 2023

Papers citing "Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis"

5 / 5 papers shown

Title
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 25 9 0 15 Jan 2024
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words Mst. Shapna Akter Hossain Shahriar A. Cuzzocrea Nova Ahmed C. Leung SyDa 27 9 0 13 Mar 2023
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data Mst. Shapna Akter Hossain Shahriar Nova Ahmed A. Cuzzocrea 25 8 0 13 Mar 2023
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021