首页|Findings from Kansas State University Update Understanding of Machine Learning ( Matrix-completion-based False Data Injection Attacks Against Machine Learning De tectors)
Findings from Kansas State University Update Understanding of Machine Learning ( Matrix-completion-based False Data Injection Attacks Against Machine Learning De tectors)
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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 originatingfrom Manhattan, Kansas, by NewsRx correspondents, research stated, “False data injection (FDI) attackscan manipul ate power system measurements, leading to system economic losses and security is sues.Although machine-learning (ML) detectors can effectively detect FDI attack s, the current methods usedto construct FDI attacks do not take into account th e presence of ML detectors.”
ManhattanKansasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningKansas St ate University