Paper 2023/1684
Nomadic: Normalising Maliciously-Secure Distance with Cosine Similarity for Two-Party Biometric Authentication
Abstract
Computing the distance between two non-normalized vectors
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Published elsewhere. Minor revision. Asia CCS 2024
- DOI
- https://doi.org/10.1145/3634737.3657022
- Keywords
- privacy-preservationmalicious securityfunction secret sharingcosine similarity
- Contact author(s)
-
nan cheng @ unisg ch
melek onen @ eurecom fr
aikaterini mitrokotsa @ unisg ch
oubaida chouchane @ eurecom fr
massimiliano todisco @ eurecom fr
ibarrond @ eurecom fr - History
- 2024-04-18: last of 3 revisions
- 2023-10-31: received
- See all versions
- Short URL
- https://ia.cr/2023/1684
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2023/1684, author = {Nan Cheng and Melek Önen and Aikaterini Mitrokotsa and Oubaïda Chouchane and Massimiliano Todisco and Alberto Ibarrondo}, title = {Nomadic: Normalising Maliciously-Secure Distance with Cosine Similarity for Two-Party Biometric Authentication}, howpublished = {Cryptology {ePrint} Archive, Paper 2023/1684}, year = {2023}, doi = {https://doi.org/10.1145/3634737.3657022}, url = {https://eprint.iacr.org/2023/1684} }