Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy

Author:

Mohammadi Maryam1ORCID,Sabry Farida2ORCID,Labda Wadha1ORCID,Malluhi Qutaibah1ORCID

Affiliation:

1. Qatar University, Doha, Qatar

2. Qatar University & Cairo University, Doha, Qatar

Funder

Qatar National Research Fund

Publisher

ACM

Reference60 articles.

1. Deep Learning with Differential Privacy

2. Reza Abrishambaf Hasan Demirel and Izzet Kale. 2008. A Fully CNN Based Fingerprint Recognition System. 146 -- 149. https://doi.org/10.1109/CNNA.2008. 4588667 10.1109/CNNA.2008 Reza Abrishambaf Hasan Demirel and Izzet Kale. 2008. A Fully CNN Based Fingerprint Recognition System. 146 -- 149. https://doi.org/10.1109/CNNA.2008. 4588667

3. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

4. Y Amruth , BM Gopinatha , MP Gowtham , M Kiran , and Y Harshalatha . 2020 . Fingerprint and Signature Authentication System using CNN . In 2020 IEEE International Conference for Innovation in Technology (INOCON). IEEE, 1--4. Y Amruth, BM Gopinatha, MP Gowtham, M Kiran, and Y Harshalatha. 2020. Fingerprint and Signature Authentication System using CNN. In 2020 IEEE International Conference for Innovation in Technology (INOCON). IEEE, 1--4.

5. Esla Timothy Anzaku , Hosik Sohn , and Yong Man Ro. 2011. Privacy Preserving Facial and Fingerprint Multi-biometric Authentication . In Digital Watermarking, Hyoung-Joong Kim, Yun Qing Shi, and Mauro Barni (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg , 239--250. Esla Timothy Anzaku, Hosik Sohn, and Yong Man Ro. 2011. Privacy Preserving Facial and Fingerprint Multi-biometric Authentication. In Digital Watermarking, Hyoung-Joong Kim, Yun Qing Shi, and Mauro Barni (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 239--250.

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