首页|New Machine Learning Data Have Been Reported by Researchers at Wenzhou Universit y (Anti-machine-learning-attack Strong Puf Design Based On Multi-path Delay Sele ction Strategy)
New Machine Learning Data Have Been Reported by Researchers at Wenzhou Universit y (Anti-machine-learning-attack Strong Puf Design Based On Multi-path Delay Sele ction Strategy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Wenzhou, People’s Republic of China, by NewsRx editors, research stated, “Physical unclonable functions (PUF) have significant potential for application in information security. However, st rong PUFsare vulnerable to machine learning (ML) modeling attacks, which severe ly limit their application in deviceauthentication.”
WenzhouPeople’s Republic of ChinaAsi aCybersecurityCyborgsEmerging TechnologiesMachine LearningWenzhou Univ ersity
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