POISCS
    Problems of information security. Computer systemsPeter the Great St. Petersburg Polytechnic University
    Since 1999
    ISSN 2071-8217
    enАнглийский
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    Articles from section "Artificial intelligence and machine learning systems security"

    An empirical study of the robustness of a linear filter built on the Neyman – Pearson criterion to a change in the mean values

    Artificial intelligence and machine learning systems security
    Ognev R. A.Zegzhda D. P.
    • Year: 2023
    • Issue: Спецвыпуск
    • 1
    • 226
    • Pages: 139-144

    Caviats of detecting unfairness biases in results of recommender systems

    Artificial intelligence and machine learning systems security
    Dakhnovich A. D.Solovey R. S.LOGINOV Z. G.ZAGALSKII D. S.Moskvin D. A.Zegzhda D. P.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 201
    • Pages: 130-138

    A set-theoretic model of data poisoning attack techniques in artificial intelligence systems

    Artificial intelligence and machine learning systems security
    Gololobov N. V.Zegzhda D. P.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 206
    • Pages: 120-129

    Privacy of machine learning models

    Artificial intelligence and machine learning systems security
    Rudnitskaya E.A.Poltavtseva M. A.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 199
    • Pages: 108-119

    Protection against the threat of the machine learning models extraction

    Artificial intelligence and machine learning systems security
    Soshnev M. D.Kalinin M. O.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 199
    • Pages: 95-107

    Classification of methods to counteract a data poisoning attack during neural network training

    Artificial intelligence and machine learning systems security
    Gololobov N. V.Pavlenko E. Yu.
    • Year: 2023
    • Issue: Спецвыпуск
    • 0
    • 204
    • Pages: 86-94