Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.

Abstract: An integrated circuit device with a single via layer, in which the via layer includes selectable via sites and/or jumpers. The selectable via sites and/or placement of jumpers may be used to configure and interconnect components and circuitry between distinct layers of multilayer circuits. In some implementations, selectively enabling via sites by filling via openings and/or using jumpers may implement a data strobe generation circuit with a first via configuration and/or a data buffer circuit with a second configuration.