• DOI:10.1109/MSP.2015.2426728
Corpus ID: 17682660

Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective

@article{Biggio2015AdversarialBR,
  title={Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective},
  author={B. Biggio and G. Fumera and P. Russu and Luca Didaci and F. Roli},
  journal={IEEE Signal Processing Magazine},
  year={2015},
  volume={32},
  pages={31-41}
}

B. Biggio, G. Fumera, +2 authors F. Roli

Published 2015

Computer Science

IEEE Signal Processing Magazine

In this article, we review previous work on biometric security under a recent framework proposed in the field of adversarial machine learning. This allows us to highlight novel insights on the security of biometric systems when operating in the presence of intelligent and adaptive attackers that manipulate data to compromise normal system operation. We show how this framework enables the categorization of known and novel vulnerabilities of biometric recognition systems, along with the… CONTINUE READING

View on IEEE

pralab.diee.unica.it

Save to Library

Create Alert

Cite

Launch Research Feed