Privacy-Preserving Intrusion Detection using Convolutional Neural Networks

arXiv:2404.09625v1 Announce Type: new
Abstract: Privacy-preserving analytics is designed to protect valuable assets. A common service provision involves the input data from the client and the model on the analyst's side. The importance of the privacy preservation is fuelled by legal obligations and intellectual property concerns. We explore the use case of a model owner providing an analytic service on customer's private data. No information about the data shall be revealed to the analyst and no information about the model …

analyst analytics arxiv assets case client convolutional neural networks cs.ai cs.cr cs.lg data detection input intellectual property intrusion intrusion detection legal networks neural networks preservation privacy property protect service use case