Quantum Machine Learning: Perspectives in Cybersecurity

被引：0
|
作者：
Pastorello, Davide [1 ,2 ]
机构：
[1] Univ Bologna, Dept Math, Piazza Porta San Donato 5, I-40126 Bologna, Italy
[2] TIFPA INFN, Via Sommarive 14, I-38123 Povo, TN, Italy
来源：
COMPUTER SAFETY, RELIABILITY, AND SECURITY. SAFECOMP 2024 WORKSHOPS | 2024年 / 14989卷
关键词：
Quantum machine learning; cybersecurity; data corruption; gradient masking;
D O I：
10.1007/978-3-031-68738-9_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work, we give an overview on some recent results related to quantum machine learning (QML) regarding the training of quantum generative adversarial neural networks by means of classical shadows, and a parametric model implemented on a quantum annealer. Then, we argue that QML models can be robust against targeted data corruption and gradient-based attacks, motivating the exploration of the relationship between QML and cybersecurity.
引用
收藏
页码：266 / 274
页数：9
相关论文
共 50 条
  • [31] New perspectives on structural health monitoring using unsupervised quantum machine learning
    Alves, Victor Higino Meneguitte
    Gomes, Raphael Fortes Infante
    Cury, Alexandre
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 229
  • [32] Advances and Vulnerabilities in Modern Cryptographic Techniques: A Comprehensive Survey on Cybersecurity in the Domain of Machine/Deep Learning and Quantum Techniques
    Mehmood, Abid
    Shafique, Arslan
    Alawida, Moatsum
    Khan, Abdul Nasir
    IEEE ACCESS, 2024, 12 : 27530 - 27555
  • [33] Quantum machine learning
    Jonathan Allcock
    Shengyu Zhang
    National Science Review, 2019, 6 (01) : 26 - 28
  • [34] A New Approach to Data Analysis Using Machine Learning for Cybersecurity
    Hiremath, Shivashankar
    Shetty, Eeshan
    Prakash, Allam Jaya
    Sahoo, Suraj Prakash
    Patro, Kiran Kumar
    Rajesh, Kandala N. V. P. S.
    Plawiak, Pawel
    BIG DATA AND COGNITIVE COMPUTING, 2023, 7 (04)
  • [35] The Role of Machine Learning Algorithms in Smart Grid Cybersecurity.
    Diaba, Sayawu Yakubu
    2024 INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ENERGY TRANSFORMATION, AIE 2024, 2024,
  • [36] Machine Learning-Based Cybersecurity Framework for IoT Devices
    Arabelli, Rajeshwarrao
    Buradkar, Mrunalini
    Lakshmaji, Kotla
    Dube, Anand Prakash
    Shiba, Mary C.
    Geetha, B. T.
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [37] CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
    Hariharan, Ayush
    Gupta, Ankit
    Pal, Trisha
    ADVANCES IN INFORMATION AND COMMUNICATION, VOL 2, 2020, 1130 : 705 - 720
  • [38] Search and Rescue Optimization with Machine Learning Enabled Cybersecurity Model
    Mengash H.A.
    Alzahrani J.S.
    Eltahir M.M.
    Al-Wesabi F.N.
    Mohamed A.
    Hamza M.A.
    Marzouk R.
    Computer Systems Science and Engineering, 2023, 45 (02): : 1393 - 1407
  • [39] Machine Learning Advancements for Surveillance: Cybersecurity and Behavior Risk Forecasting
    Hashmi, Arshad
    Alotaibi, Fahad
    INTERNATIONAL JOURNAL OF MULTIPHYSICS, 2024, 18 (03) : 1055 - 1072
  • [40] Internet of Things Cybersecurity Platform Benchmark: A Machine Learning Assessment
    Craciun, Robert-Alexandru
    Pietraru, Radu Nicolae
    Moisescu, Mihnea Alexandru
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2024, 26 (03): : 12 - 20
12345