Notes on non-interactive secure comparison in "image feature extraction in the encrypted domain with privacy-preserving SIFT"
By Matthias Schneider, Thomas Schneider. 2014
28 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Signal Processing
Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “Though some efforts tried to apply encryption algorithms [115-118] to achieve privacy preservation in extracting features from images, the timeliness requirement in smart transportation makes it inappropriate to apply encryption and seriously obfuscates this issue.”