Classification of methods to counteract a data poisoning attack during neural network training

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.