Abstract
A communication system including a receiver to receive training data. An input interface to receive input data coupled to a hardware processor and a memory. The hardware processor is configured to initialize the privacy module using the training data. Generate a trained privacy module, by iteratively optimizing an objective function. Wherein for each iteration the objective function is computed by a combination of a distortion of the useful attributes in the transformed data and of a mutual information between the sensitive attributes and the transformed data. Such that the mutual information is estimated by the auxiliary module that maximizes a conditional likelihood of the sensitive attributes given the transformed data. Receive the input data via the input interface. Apply the trained privacy module on the input data to produce an application specific transformed data. A transmitter to transmit the application specific transformed data over a communication channel.
Recommended Citation
Y. Wang et al., "Data-driven Privacy-Preserving Communication," U.S. Patents, Jun 2019.
Department(s)
Computer Science
Patent Application Number
US15/845,917
Patent Number
US20190188402A1
Document Type
Patent
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 Mitsubishi Electric Research Laboratories , Inc ., All rights reserved.
Publication Date
20 Jun 2019
