The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems.
Scientists at the University of Michigan have developed machine learning models to predict childhood attention-deficit hyperactivity (ADHD) disorder symptoms from neurocognitive testing and child ...
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