Hill-Climbing Attack to an Eigenface-Based Face Verification System
| Type of publication: | Conference paper |
| Citation: | Galbally_BIDS_2009 |
| Booktitle: | Proceedings of the First IEEE International Conference on Biometrics, Identity and Security (BIdS) |
| Year: | 2009 |
| Abstract: | We use a general hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of an Eigenface-based approach for face recognition against indirect attacks. The attacking technique uses the scores provided by the matcher to adapt a global distribution, computed from a development set of users, to the local specificities of the client being attacked. The proposed attack is evaluated on an Eigenfacebased verification system using the XM2VTS database. The results show a very high efficiency of the hill-climbing algorithm, which successfully bypassed the system for over 85% of the attacked accounts. |
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| Projects: |
Idiap MOBIO |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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