Secure Data Labeling
Principal Investigator: Chris Foreman
This is a survey of existing state of the art techniques in securely binding data labels to data. This includes ensuring the data are labeled correctly and that once labeled, the labels cannot be altered or deleted maliciously.
Other PIs: Elisa Bertino
Students: Fang-Yu Rao
Keywords: attack, binding, data labels, security