首页|Research Results from University of Trento Update Understanding of Artificial In telligence (Visual Prompt Engineering for Enhancing Facial Recognition Systems R obustness Against Evasion Attacks)
Research Results from University of Trento Update Understanding of Artificial In telligence (Visual Prompt Engineering for Enhancing Facial Recognition Systems R obustness Against Evasion Attacks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report.According to news reporting out of Trento, Ita ly, by NewsRx editors, research stated, “Deep learning has unequivocally emerged as the backbone of simple to highly sensitive systems demanding artificial inte lligence across diverse domains.For instance, foundation models based on deep n eural networks (DNNs) can play a crucial role in the design of security-sensitiv e systems, such as facial recognition systems (FRS).”
University of TrentoTrentoItalyEur opeArtificial IntelligenceCybersecurityEmerging TechnologiesEngineeringMachine Learning
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