70. A system for outputting a dataset based upon anomaly detection, the system comprising: a digital processing device that: receives a training dataset having a plurality of n-grams that includes a first plurality of distinct training n-grams, wherein each of the first plurality of distinct training n-grams is a first size; selects the first plurality of distinct training n-grams on a random basis, pseudo-random basis, or secret basis; receives an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; determines a first matching count of the first input n-grams that correspond to one of the first plurality of distinct training n-grams: determines a first total count of the first input n-grams; determines a first anomaly detection score using the first matching count and the first total count, wherein the first anomaly detection score is indicative of the presence of anomalous n-grams in the input dataset; and outputs the input dataset based on the first anomaly detection score.
70. A system for outputting a dataset based upon anomaly detection, the system comprising: a digital processing device that: receives a training dataset having a plurality of n-grams that includes a first plurality of distinct training n-grams, wherein each of the first plurality of distinct training n-grams is a first size; selects the first plurality of distinct training n-grams on a random basis, pseudo-random basis, or secret basis; receives an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; determines a first matching count of the first input n-grams that correspond to one of the first plurality of distinct training n-grams: determines a first total count of the first input n-grams; determines a first anomaly detection score using the first matching count and the first total count, wherein the first anomaly detection score is indicative of the presence of anomalous n-grams in the input dataset; and outputs the input dataset based on the first anomaly detection score. 73. The system of claim 70 , wherein the plurality of n-grams in the training dataset also includes a second plurality of distinct training n-grams that are each a second size; and the input dataset also includes second input n-grams that are each the second size, and wherein the digital processing device also: determines a second matching count of the second input n-grams that correspond to one of the second plurality of distinct training n-grams; determines a second total count of the second input n-grams; determines a second anomaly detection score using the second matching count and the second total count; and determines based upon the second anomaly detection score whether the input dataset contains an anomaly.