Work

Investigation of Vulnerabilities of Machine Learning Models to Adversarial Attacks in Smart Grid Forecasting Systems

Year: 2026

Type: book-chapter

Source: Advances in computational intelligence and robotics book series

DOI: 10.4018/979-8-2600-4947-1.ch012

Authors: Vitalii Lapin, Nikolay Bukreev, Maria Lapina, Nurmamatov Mekhriddin, Gleb Dudun

Institutions: Samarkand State University named after Sharof Rashidov, North-Caucasus Federal University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W7224375467

FWCI:

Cites: 27

Cited by:

Related to: 10