Vitaliy Pozdnyakov — accepted AI-conference papers

2024

AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes

Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov

IJCAI 2024poster

The development of the smart manufacturing trend includes the integration of Artificial Intelligence technologies into industrial processes. One example of such implementation is deep learning models that diagnose the current state of a technological process. Recent studies have demonstrated that sm…

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2024

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)

Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov

IJCAI 2024poster

Modern industrial facilities generate large volumes of raw sensor data during the production process. This data is used to monitor and control the processes and can be analyzed to detect and predict process abnormalities. Typically, the data has to be annotated by experts in order to be used in pred…

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