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Andreas Uhl

4 accepted papers

2021

Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 Encryption

ICASSP 2021accepted

When biometric databases grow larger, a security breach or leak can affect millions. In order to protect against such a threat, the use of encryption is a natural choice. However, a biometric identification attempt then requires the decryption of a potential huge database, making a traditional appro…

Cited by 0SourceScholar
2019

Selective Jpeg2000 Encryption of Iris Data: Protecting Sample Data vs. Normalised Texture

ICASSP 2019accepted

Biometric system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed iris data by conducting iris recognition on the selectively encrypted data. This paper specifically compares th…

Cited by 0SourceScholar
2017

Deep Learning with Topological Signatures

NeurIPS 2017poster

Inferring topological and geometrical information from data can offer an alternative perspective in machine learning problems. Methods from topological data analysis, e.g., persistent homology, enable us to obtain such information, typically in the form of summary representations of topological feat…