Artificial intelligence technology has now been deeply applied in various fields of military operations,comprehensively changing the shape of modern warfare.Data is the core driving force of military intelligence models,providing a guarantee for the effective operation of the models.However,due to the non-interpretability of deep learning,the existence of adversarial attack techniques has brought serious data security problems to current military intelligence models.On the one hand,such security threats come in various forms and can be affected during the full life cycle of training and reasoning of intelligent systems.On the other hand,the types of military data interfered by adversarial samples are complicated,and the means of implementing deception show a diversified trend.Therefore,this paper will analyse the security risk pattern of military intelligent data,and further give specific measures on how to prevent the risk of military intelligent data in the hope that it can provide certain references and les-sons for improving the security of military intelligent data.
关键词
军事人工智能/数据安全/对抗攻击/物理对抗攻击
Key words
artificial intelligence for military/data security/adversarial attacks/physical adversarial attacks
维普
万方数据