Abstract: The privacy of a dataset is protected. A private dataset is received that includes multiple rows of multidimensional data. Each row may correspond to a user, and each dimension may be an attribute of the user. A projection matrix is applied to each row to generate a lower dimensional sketch of the row. Noise is added to each of the lower dimensional sketches. The sketches with the added noise may be published together with the projection matrix. The sketches preserve geometric relationships of the original dataset including clustering, distances, and nearest neighbor, and therefore may be useful for data mining purposes while still protecting the privacy of the users.

Abstract: A system and method for verifying messages. The method may include the steps of receiving an inbound message and characterizing the inbound message by analyzing a latent cryptographic identifier in the inbound message. The identifier is generated by a recognized message system, which may be the receiving system itself, for an outbound message. Characterizing may involve detecting if the latent cryptographic identifier is present and determining if the cryptographic identifier is valid. The step of determining can be performed using symmetric or asymmetric methods of verifying the authenticity of the message.