摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx编辑对澳门的新闻报道，研究表明：“在本文中，我们提出了一种完全对称的模糊互连PUF(SOI PUF)，它包含N个延迟阶段S，每个阶段具有4K个模糊互连，用于抵抗基于机器学习(ML)的建模攻击。所有延迟阶段都有助于K个PUF优先级，同时实现与类似现有技术相比，使用相同硬件资源的可能互连数量增加20倍。本研究经费来自澳门科技发展基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Macau, People’s Republic of China, by NewsRx editors, research stated, “In this paper, we propose a fully sy mmetrical obfuscated-interconnection PUF (SOI PUF), which contains n delay stage s with each stage having 4k obfuscated interconnections for resisting machine le arning (ML)-based modeling attacks. All the delay stages contribute to k PUF pri mitives while achieving a 20x increase in the number of possible interconnection s with the same hardware resources over similar prior arts.” Financial support for this research came from Macau Science and Technology Devel opment Fund.
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