Abstract: Examples of determining a classification for an input dataset are provided. The input dataset may be defined in a one-dimensional data structure. The input data set may be converted into a formatted dataset of a two-dimensional data structure, a format of the formatted dataset being defined in accordance to a type of a deep neural network component. The formatted dataset may be processed through multiple layers of the deep neural network component. Based on the processing of the formatted dataset, a classification indicative of a probability of a data feature of the input dataset corresponding to an identity parameter, which may include sensitive data, associated with an identity of the individual, may be determined. A user may be provided the data feature of the input dataset corresponding to the identity parameter in a first format and another data features of the input dataset in a second format different than the first format.