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ORCIDBabak Poorebrahim Gilkalaye
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Conference and Workshop Papers
- 2024
[c5]Babak Poorebrahim Gilkalaye, Shubhabrata Mukherjee, Reza Derakhshani:
A secure and private ensemble matcher using multi-vault obfuscated templates. IJCB 2024: 1-10- 2022
- [c4]Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar:
Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. AMIA 2022 - [c3]Gharib Gharibi, Ravi Patel, Anissa Khan, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Ramesh Raskar, Steve Penrod, Greg Storm, Riddhiman Das:
An Automated Framework for Distributed Deep Learning-A Tool Demo. ICDCS 2022: 1302-1305 - 2021
- [c2]Gharib Gharibi, Babak Poorebrahim Gilkalaye, Ravi Patel, Andrew Rademacher, David Wagner, Jack Fay, Gary Moore, Steve Penrod, Greg Storm, Riddhiman Das:
TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms. NeurIPS (Competition and Demos) 2021: 343-348 - 2019
- [c1]Babak Poorebrahim Gilkalaye, Ajita Rattani, Reza Derakhshani:
Euclidean-Distance Based Fuzzy Commitment Scheme for Biometric Template Security. IWBF 2019: 1-6
Informal and Other Publications
- 2024
- [i1]Babak Poorebrahim Gilkalaye, Shubhabrata Mukherjee
, Reza Derakhshani:
A secure and private ensemble matcher using multi-vault obfuscated templates. CoRR abs/2404.05205 (2024)
Coauthor Index
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last updated on 2024-11-27 21:26 CET by the dblp team
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