计算机工程2016，Vol.42Issue(11)：147-151,5.DOI:10.3969/j.issn.1000-3428.2016.11.024
基于多线性分类器拟合的攻击模拟算法
Attack Simulation Algorithm Based on Multi-linear Classifier Fitting
摘要
Abstract
In order to improve the anti-aggressive capability of classifiers in the adversarial environment and training stage,this paper proposes a new attack simulation algorithm.The member classifiers are fitted to simulate and get the decision boundary used by the worst case attack,and the member classifier with poor performance is removed according to threshold setting.The final result of the proposed algorithm is superior to that of the mimicry attack algorithm. Experimantal result shows that this algorithm has no need to get the specific information of the target classifier,and it has higher security while maintaining the accuracy of classification.关键词
分类器/对抗性环境/攻击模拟算法/最差情况攻击/模仿攻击Key words
classifier/adversarial environment/attack simulation algorithm/worst case attack/mimicry attack分类
信息技术与安全科学引用本文复制引用
吴玮斌,刘功申..基于多线性分类器拟合的攻击模拟算法[J].计算机工程,2016,42(11):147-151,5.基金项目
国家“973”计划项目（2013CB329603）；国家自然科学基金（61472248，61171173）。 （）
