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You probably think twice before downloading a random app or opening an unfamiliar email attachment. But how often do you stop to consider what happens when your team downloads and loads a machine learning model? A recent study shows why you should. Researchers from Politecnico di Milano found that loading a shared model can be just as risky as running untrusted code. In their tests, they uncovered six previously unknown flaws in popular machine learning … More → The post When loading a model means loading an attacker appeared first on Help Net Security.
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