partially supported by US National Science Foundation (Grant No. CCF-0905337); Fundamental Research Funds for the Central Universities (Grant Nos. DUT13RC(3)53, DUT12JR02); New Century Excellent Talents in University (Grant No. NCET-13-0073); National Natural Science Foundation of China (Grant Nos. 61033012, 61175062, 61370144)
In this paper, we investigate a new problem misleading classification in which each test instance is associated with an original class and a misleading class. Its goal for the data owner is to form the training set ou...