CLASSIFICATION OF METHODS TO COUNTERACT A DATA POISONING ATTACK DURING NEURAL NETWORK TRAINING
N. V. Gololobov, E. Y. Pavlenko Peter the Great St. Petersburg Polytechnic University
Annotation: Considered methods of counteraction attack data poisoning type learning neural network and compiled a model of the attacker, according to which a classification of the considered methods. The classification obtained as a result of the study can be used in further research, the ultimate goal of which is to increase the level of unification and automation of data processing and protection methods.
Keywords: information security, machine learning, data processing, data poisoning, learning quality.