首页|Findings from Federal University Rio Grande Yields New Data on Machine Learning (On the Efficacy and Vulnerabilities of Logic Locking In Tree-based Machine Lear ning)
Findings from Federal University Rio Grande Yields New Data on Machine Learning (On the Efficacy and Vulnerabilities of Logic Locking In Tree-based Machine Lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news reporting originating in Porto Alegre, Brazil, by NewsRx journalists, research stated, “The popularity and widespread u sage of machine learning (ML) hardware have created challenges for its intellect ual property (IP) protection.Logic locking is a widely used technique for IP pr otection but has received little attention in error-resilient applications such as ML hardware modules.”Funders for this research include Coordenacao de Aperfeicoamento de Pessoal de N ivel Superior (CAPES), FCT Research and Development Agencies, German Research Fo undation (DFG), Center for Cyber Security (CCS), New York University Abu Dhabi ( NYUAD).
Porto AlegreBrazilSouth AmericaCyb orgsEmerging TechnologiesMachine LearningFederal University Rio Grande
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