Introduction:
In the world of real estate, it is ubiquitous to find real
estate agents skilled at assessing the price of a real estate asset
in a locality, by combining data from past transactions of land
occurring in that locality with the data about the size of the real
estate asset and the nature of the building constructed on it.
However, in the exercise of the realtor's formidable
professional judgement also lies a threat to the privacy of the
real estate asset's owner, who stands to have a very sensitive
piece of information about him, viz., his financial worth
compromised unwittingly by a real estate agent he doesn't even
know, let alone trust. In the 21st century, by replacing
the realtor with a drone operator or a satellite image processor
combining remote sensing data with data analytics, artificial
intelligence and machine learning techniques, privacy concerns have
multiplied manifold due to the resulting computing power. As an
unprecedented privacy
