Abstract: A method includes receiving a request to solve a problem defined by input information and applying a neural network to generate an answer to the problem. The neural network includes an input level, a manager level including a first manager, a worker level including first and second workers, and an output level. Applying the neural network includes implementing the input level to provide a piece of input information to the first manager; implementing the first manager to delegate portions of the piece of information to the first and second workers; implementing the first worker to operate on its portion of information to generate a first output; implementing the second worker to operate on its portion of information to generate a second output; and implementing the output level to generate the answer to the problem, using the first and second outputs. The method also includes transmitting a response comprising the answer.

Abstract: An apparatus includes a processor that monitors transmissions destined for an external network, determines that a transmission includes original media associated with a subject, and intercepts the transmission before it reaches the external network. The processor generates modified media by selecting a subset of data elements of the original media and replacing a value of each data element of the subset with a new value. At least one of the subset of data elements and the set of new values is chosen such that an accuracy metric calculated for a first generative algorithm, trained to generate synthetic representations of the subject based on modified media, is less than, by a given factor, the accuracy metric calculated for a second generative algorithm, trained to generate synthetic representations of the subject based on original media. The processor replaces the transmission with a new transmission that includes the modified media.