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The disclosed computer-implemented method for evaluating infection risks based on profiled user behaviors may include (1) collecting user-behavior profiles that may include labeled profiles (eg, infected profiles and/or clean profiles) and/or unlabeled profiles,(2) training a classification model to distinguish infected profiles from clean profiles using features and labels of the user-behavior profiles, and (3) using the classification model to predict (a) a likelihood that a computing system of a user will become infected based on a profile of user behaviors of the user and/or (b) a likelihood that a user behavior in the user-behavior profiles will result in a computing-system infection. Various other methods, systems, and computer-readable media are also disclosed.