首页|Study Results from Zhejiang University of Technology Provide New Insights into M achine Learning (Deepinsight: Topology Changes Assisting Detection of Adversarial Samples On Graphs)
Study Results from Zhejiang University of Technology Provide New Insights into M achine Learning (Deepinsight: Topology Changes Assisting Detection of Adversarial Samples On Graphs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Hangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “Withthe rapid developm ent of artificial intelligence, a number of machine learning algorithms, such as graphneural networks (GNNs), have been proposed to facilitate network analysis or graph data mining. Althougheffective, recent studies show that these advanc ed methods may suffer from adversarial attacks, i.e., theymay lose effectivenes s when only a small fraction of links are unexpectedly changed.”
HangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningZhejiang University of Tec hnology
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