معرفی
Alexander Gorban holds the position of Research Professor in Mathematics. His research focuses on adversarial attacks, AI robustness, and neural network security. He has contributed to understanding AI vulnerabilities in large language models and deep learning systems.
Key research interests include analyzing adversarial examples, concept drift in AI systems, and stealth attack mechanisms. His work bridges theoretical mathematics with practical applications in artificial intelligence.
Recent contributions address AI error mitigation, neural network behavior under perturbations, and neuromorphic memory systems inspired by biological networks. Collaborations span international teams, emphasizing interdisciplinary approaches to AI challenges.
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