首页|New Machine Learning Study Results from Blekinge Institute of Technology Describ ed (Adversarial Machine Learning In Industry: a Systematic Literature Review)
New Machine Learning Study Results from Blekinge Institute of Technology Describ ed (Adversarial Machine Learning In Industry: a Systematic Literature Review)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting out of Karlskrona, Sweden, by NewsRx edit ors, research stated, "Adversarial Machine Learning (AML) discusses the act of a ttacking and defending Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML is applied in many software-intensive produ cts and services and introduces new opportunities and security challenges." Financial support for this research came from KKS foundation at Blekinge Institu te of Technology. Our news journalists obtained a quote from the research from the Blekinge Instit ute of Technology, "AI and ML will gain even more attention from the industry in the future, but threats caused by alreadydiscovered attacks specifically targe ting ML models are either overseen, ignored, or mishandled. Current AML research investigates attack and defense scenarios for ML in different industrial settin gs with a varying degree of maturity with regard to academic rigor and practical relevance. However, to the best of our knowledge, a synthesis of the state of a cademic rigor and practical relevance is missing. This literature study reviews studies in the area of AML in the context of industry, measuring and analyzing e ach study's rigor and relevance scores."
KarlskronaSwedenEuropeCyborgsEme rging TechnologiesMachine LearningBlekinge Institute of Technology
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