摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中提供。根据新闻报道NewsRx记者在中国人民代表大会广州发表的研究报告称，“稳健性”是理解、设计、优化和修复带有模拟攻击的网络的关键是目前流行的评价方法。模拟攻击往往耗时甚至不切实际；然而，一个更关键但一直被忽视的缺点是，任何攻击策略都仅仅提供解体的潜在段落"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to news reportingfrom Guangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “Robustnessis pivotal f or comprehending, designing, optimizing, and rehabilitating networks, with simul ation attacksbeing the prevailing evaluation method. Simulation attacks are oft en time-consuming or even impractical;however, a more crucial yet persistently overlooked drawback is that any attack strategy merely providesa potential para digm of disintegration.”
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