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Mikhail Drobyshevskiy

2 accepted papers

2026

Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense

AAAI 2026technical

The rising demand for Trusted AI (TAI) underscores the need for interpretable and robust models, yet existing tools rarely support graph-structured data or integrate interpretability with security. At the same time, Graph Neural Networks (GNNs) deliver state-of-the-art performance on numerous graph

Cited by 0SourcePDFScholar
2024

AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes

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…

Cited by 0SourcePDFScholar