<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yepeng Deng</style></author><author><style face="normal" font="default" size="100%">Chunkai Zhang</style></author><author><style face="normal" font="default" size="100%">Xuan Wang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A multi-objective examples generation approach to fool the deep neural networks in the black-box scenario</style></title><secondary-title><style face="normal" font="default" size="100%">2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><pages><style face="normal" font="default" size="100%">92–99</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>