POISCS
    Problems of information security. Computer systemsPeter the Great St. Petersburg Polytechnic University
    Since 1999
    ISSN 2071-8217
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    Articles by keywords "Artificial intelligence"

    Protection of artificial intelligence models from backdoor attacks

    Moskalev N. O.Logacheva S. V.Lavrova D. S.
    • Year: 2026
    • Issue: Спецвыпуск
    • 8
    • 207
    • Pages: 51-60

    Methodology for identifying the authorship of objects generated by artificial intelligence

    Vyvolokina A. V.
    • Year: 2026
    • Issue: Спецвыпуск
    • 5
    • 200
    • Pages: 20-29

    Proactive AI risk management

    Amenitsky A. V.
    • Year: 2026
    • Issue: Спецвыпуск
    • 19
    • 658
    • Pages: 8-19

    Privacy of machine learning models

    Artificial intelligence and machine learning systems security
    Rudnitskaya E.A.Poltavtseva M. A.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 392
    • Pages: 108-119

    Protection of AI/ML federated learning systems from poisoning attacks

    Machine learning and knowledge control systems
    Poltavtseva M. A.Vasilyeva A. A.
    • Year: 2026
    • Issue: 2
    • 9
    • 613
    • Pages: 121-137

    Transformation of the cyber threat paradigm: deepfake as a determinant of risk escalation in social engineering attacks

    Information security application
    Kiselev A.N.Bondarenko V. S.Tatarenko D. G.
    • Year: 2026
    • Issue: 2
    • 15
    • 1147
    • Pages: 9-21

    Comparative analysis of the problems of the application of steganography methods in the implementation of illegal actions and its role in digital forensics

    Information security application
    Fedosenko M.Yu.Bezzateev S. V.
    • Year: 2023
    • Issue: 3
    • 13
    • 1220
    • Pages: 33-57

    Detection of computer attacks in networks of industrial Internet of Things based on the computing model of hierarchical temporary memory

    Cyber-physic systems security
    Markov G.A.Krundyshev V. M.Kalinin M. O.Zegzhda D. P.Busygin A. G.
    • Year: 2023
    • Issue: 2
    • 1
    • 1127
    • Pages: 163-172

    Application of the neocortex model to detect contextual anomalies in network traffic of the industrial Internet of Things

    Cyber-physic systems security
    Markov G.A.
    • Year: 2023
    • Issue: 2
    • 0
    • 1062
    • Pages: 140-149

    Methodological and technological foundations for countering cognitive threats in generative multimodal content

    Machine learning and knowledge control systems
    Konovalchik P. M.Ovcharov V. A.
    • Year: 2025
    • Issue: 4
    • 43
    • 1502
    • Pages: 138-162

    A model for implementing artificial intelligence into embedded systems

    Cyber-physic systems security
    Elina T. N.Shevchenko D. A.
    • Year: 2025
    • Issue: 4
    • 18
    • 1265
    • Pages: 35-47

    The problems of trust assessment in Big Data analysis

    Big Data processing security
    Grusho A. A.Grusho N. A. Zabezhailo M. I.Timonina E. E.
    • Year: 2021
    • Issue: 4
    • 1
    • 1284
    • Pages: 137-143

    A protection method for the global model of the federated learning systems based on a trust model

    Machine learning and knowledge control systems
    Krundyshev V. M.Cheskidov V. K.Kalinin M. O.
    • Year: 2024
    • Issue: 4
    • 4
    • 1264
    • Pages: 94-108

    Ensuring the stability of online learning artificial intelligence systems based on model similarity assessment

    Tsibulskas K. A.Krundyshev V. M.Kalinin M. O.
    • Year: 2025
    • Issue: Спецвыпуск
    • 5
    • 1404
    • Pages: 168-178

    Application of large language models in event forecasting field

    Dakhnovich A. D.Bogina V. M.Makeeva A. A.
    • Year: 2025
    • Issue: Спецвыпуск
    • 26
    • 1725
    • Pages: 58-68

    Global practices in regulating and implementing generative artificial intelligence in higher education

    Specialist training
    Biryukov D. N.Suprun A. F.Biryukova A. D.
    • Year: 2025
    • Issue: 3
    • 59
    • 2673
    • Pages: 192-212

    From exploitation to protection: analysis of methods for defending against attacks on LLMS

    Machine learning and knowledge control systems
    Velichko I. S.Bezzateev S. V.
    • Year: 2025
    • Issue: 3
    • 27
    • 1634
    • Pages: 110-120

    From exploitation to protection: a deep dive into adversarial attacks on LLMS

    Machine learning and knowledge control systems
    Velichko I. S.Bezzateev S. V.
    • Year: 2025
    • Issue: 1
    • 22
    • 1640
    • Pages: 43-58

    From “black box” to transparency: philosophical and methodological foundations of explainability and interpretability in artificial intelligence

    Machine learning and knowledge control systems
    Biryukov D. N.Suprun A. F.
    • Year: 2025
    • Issue: 1
    • 13
    • 1604
    • Pages: 30-42