首页|Data on Machine Learning Reported by Researchers at University of Macau (Fully S ymmetrical Obfuscated Interconnection and Weakpuf- assisted Challenge Obfuscatio n Strong Pufs Against Machinelearning Modeling Attacks)
Data on Machine Learning Reported by Researchers at University of Macau (Fully S ymmetrical Obfuscated Interconnection and Weakpuf- assisted Challenge Obfuscatio n Strong Pufs Against Machinelearning Modeling Attacks)
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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.
MacauPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Macau
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