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

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

31 May 2023
Mst. Shapna Akter
Hossain Shahriar
Iysa Iqbal
M. Hossain
M. A. Karim
Victor A. Clincy
R. Voicu
    AAML
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Post-Quantum Cryptography and Quantum-Safe Security: A Comprehensive Survey
Post-Quantum Cryptography and Quantum-Safe Security: A Comprehensive Survey
Gaurab Chhetri
Shriyank Somvanshi
Pavan Hebli
Shamyo Brotee
Subasish Das
76
0
0
12 Oct 2025
Predominant Aspects on Security for Quantum Machine Learning: Literature
  Review
Predominant Aspects on Security for Quantum Machine Learning: Literature ReviewInternational Conference on Quantum Computing and Engineering (QCE), 2024
Nicola Franco
Alona Sakhnenko
Leon Stolpmann
Daniel Thuerck
Fabian Petsch
Annika Rüll
J. M. Lorenz
169
16
0
15 Jan 2024
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World ApplicationsPhysical Review Applied (Phys. Rev. Appl.), 2023
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
378
47
0
03 Jul 2023
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