摘要
由来自华盛顿特区的Robotics&Machine Learning Daily News Daily News的新闻记者兼工作人员新闻编辑报道，2023年11月30日，发明者HUR Jun Beom(Yongin-si,KR)、LIM Gyeong Sup(Seoul,KR)、OH Won Jun(Seoul,KR)、YANG,B本专利申请没有受让人。新闻编辑从发明人提供的背景信息中获得以下引文：“本发明涉及对生成模型执行隶属关系推断攻击的方法及其装置，更具体地说，本发明涉及对生成模型执行隶属关系推断攻击的方法及其装置，它可以从根本上防止生成模型的早期收敛，从而提高生成模型的学习性能。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors HUR, Jun Beom (Yongin-si, KR); LIM, Gyeong Sup (Seoul, KR); OH, Won Jun (Seoul, KR); YANG, Bo Sung (Suwon- si, KR), filed on November 30, 2023, was made available online on June 6, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: " "The present invention relates to a method for performing a membership inference attack against generative models and an apparatus for the same. More specifical ly, the present invention relates to a method for performing a membership infere nce attack against generative models and an apparatus for the same, which can fu ndamentally prevent the occurrence of early convergence, which is the primary dr awback of generative models, to thereby improve the learning performance of an a ttack model.
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