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Recent research has demonstrated the vulnerability of fingerprint recognition systems to dictionary attacks based on MasterPrints.
NIST special database 9, mated fingerprint card pairs
C. I. Watson · 1993
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Evolving artificial neural networks
X. Yao · 1999
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Completely derandomized self-adaptation in evolution strategies
N. Hansen and A. Ostermeier · 2001
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Enhancing security and privacy in biometrics-based authentication systems
N. Ratha, J. Connell, and R. Bolle · 2001
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A hybrid fingerprint matcher
A. Ross, A. Jain, and J. Reisman · 2003
Earlier work this paper cites.
Fingerprint matching using feature space correlation
A. Ross, J. Reisman, and A. K. Jain · 2004
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The CMA Evolution Strategy: A Comparing Review
N. Hansen · 2006
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From Template to Image: Reconstructing Fingerprints From Minutiae Points
A. Ross, J. Shah, and A. K. Jain · 2007
Earlier work this paper cites.
Wolf attack probability: A new security measure in biometric authentication systems
M. Une, A. Otsuka, and H. Imai · 2007
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An evaluation of direct attacks using fake fingers generated from ISO templates
J. Galbally, R. Cappelli, A. Lumini, G. Gonzalez-de Rivera, D. Maltoni, J. Fierrez, J. Ortega-Garcia, and D. Maio · 2010
Earlier work this paper cites.
A cross-device matching fingerprint database from multi-type sensors
X. Jia, X. Yang, Y. Zang, N. Zhang, and J. Tian · 2012
Cited alongside, same era.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
Fingerprint sensing and enrollment, 2014
B. B. Han, C. A. Marciniak, and W. C. Westerman · 2014
Cited alongside, same era.
A survey on anti-spoofing schemes for fingerprint recognition systems
E. Marasco and A. Ross · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
Closest in time.
Safe mutations for deep and recurrent neural networks through output gradients
J. Lehman, J. Chen, J. Clune, and K. O. Stanley · 2017
Closest in time.
Are GANs created equal? a large-scale study
M. Lučić, K. Kurach, M. Michalski, S. Gelly, and O. Bousquet · 2017
Closest in time.
Personal communication, 2017
A. Roy · 2017
Closest in time.
Masterprint: Exploring the vulnerability of partial fingerprint-based authentication systems
A. Roy, N. Memon, and A. Ross · 2017
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I. Goodfellow · 2016
Cited alongside, same era.
iOS Security - White Paper, 2017
Apple · 2017
Cited alongside, same era.
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Cited alongside, same era.
Do GANs actually learn the distribution? an empirical study
S. Arora and Y. Zhang · 2017
Cited alongside, same era.
Improved training of wasserstein GANs
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
Cited alongside, same era.
F. P. Such, V. Madhavan, E. Conti, J. Lehman, K. O. Stanley, and J. Clune · 2017
Closest in time.
Deep interactive evolution
P. Bontrager, W. Lin, J. Togelius, and S. Risi · 2018
Closest in time.
Fingerprint synthesis: Evaluating fingerprint search at scale
K. Cao and A. K. Jain · 2018
Closest in time.
Evolutionary methods for generating synthetic masterprint templates: Dictionary attack in fingerprint recognition
A. Roy, N. Memon, , J. Togelius, and A. Ross · 2018
Closest in time.