Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367623622> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4367623622 abstract "The extensive utilization of biometric authentication systems have emanated attackers / imposters to forge user identity based on morphed images. In this attack, a synthetic image is produced and merged with genuine. Next, the resultant image is user for authentication. Numerous deep neural convolutional architectures have been proposed in literature for face Morphing Attack Detection (MADs) to prevent such attacks and lessen the risks associated with them. Although, deep learning models achieved optimal results in terms of performance, it is difficult to understand and analyse these networks since they are black box/opaque in nature. As a consequence, incorrect judgments may be made. There is, however, a dearth of literature that explains decision-making methods of black box deep learning models for biometric Presentation Attack Detection (PADs) or MADs that can aid the biometric community to have trust in deep learning-based biometric systems for identification and authentication in various security applications such as border control, criminal database establishment etc. In this work, we present a novel visual explanation approach named Ensemble XAI integrating Saliency maps, Class Activation Maps (CAM) and Gradient-CAM (Grad-CAM) to provide a more comprehensive visual explanation for a deep learning prognostic model (EfficientNet-B1) that we have employed to predict whether the input presented to a biometric authentication system is morphed or genuine. The experimentations have been performed on three publicly available datasets namely Face Research Lab London Set, Wide Multi-Channel Presentation Attack (WMCA), and Makeup Induced Face Spoofing (MIFS). The experimental evaluations affirms that the resultant visual explanations highlight more fine-grained details of image features/areas focused by EfficientNet-B1 to reach decisions along with appropriate reasoning." @default.
- W4367623622 created "2023-05-02" @default.
- W4367623622 creator A5008487159 @default.
- W4367623622 creator A5033415574 @default.
- W4367623622 creator A5055445932 @default.
- W4367623622 creator A5065849330 @default.
- W4367623622 creator A5083240827 @default.
- W4367623622 date "2023-04-23" @default.
- W4367623622 modified "2023-09-26" @default.
- W4367623622 title "An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection" @default.
- W4367623622 doi "https://doi.org/10.48550/arxiv.2304.14509" @default.
- W4367623622 hasPublicationYear "2023" @default.
- W4367623622 type Work @default.
- W4367623622 citedByCount "0" @default.
- W4367623622 crossrefType "posted-content" @default.
- W4367623622 hasAuthorship W4367623622A5008487159 @default.
- W4367623622 hasAuthorship W4367623622A5033415574 @default.
- W4367623622 hasAuthorship W4367623622A5055445932 @default.
- W4367623622 hasAuthorship W4367623622A5065849330 @default.
- W4367623622 hasAuthorship W4367623622A5083240827 @default.
- W4367623622 hasBestOaLocation W43676236221 @default.
- W4367623622 hasConcept C108583219 @default.
- W4367623622 hasConcept C116834253 @default.
- W4367623622 hasConcept C119857082 @default.
- W4367623622 hasConcept C144024400 @default.
- W4367623622 hasConcept C148417208 @default.
- W4367623622 hasConcept C154945302 @default.
- W4367623622 hasConcept C167900197 @default.
- W4367623622 hasConcept C184297639 @default.
- W4367623622 hasConcept C2777212361 @default.
- W4367623622 hasConcept C2779304628 @default.
- W4367623622 hasConcept C36289849 @default.
- W4367623622 hasConcept C38652104 @default.
- W4367623622 hasConcept C41008148 @default.
- W4367623622 hasConcept C527821871 @default.
- W4367623622 hasConcept C59822182 @default.
- W4367623622 hasConcept C81363708 @default.
- W4367623622 hasConcept C86803240 @default.
- W4367623622 hasConceptScore W4367623622C108583219 @default.
- W4367623622 hasConceptScore W4367623622C116834253 @default.
- W4367623622 hasConceptScore W4367623622C119857082 @default.
- W4367623622 hasConceptScore W4367623622C144024400 @default.
- W4367623622 hasConceptScore W4367623622C148417208 @default.
- W4367623622 hasConceptScore W4367623622C154945302 @default.
- W4367623622 hasConceptScore W4367623622C167900197 @default.
- W4367623622 hasConceptScore W4367623622C184297639 @default.
- W4367623622 hasConceptScore W4367623622C2777212361 @default.
- W4367623622 hasConceptScore W4367623622C2779304628 @default.
- W4367623622 hasConceptScore W4367623622C36289849 @default.
- W4367623622 hasConceptScore W4367623622C38652104 @default.
- W4367623622 hasConceptScore W4367623622C41008148 @default.
- W4367623622 hasConceptScore W4367623622C527821871 @default.
- W4367623622 hasConceptScore W4367623622C59822182 @default.
- W4367623622 hasConceptScore W4367623622C81363708 @default.
- W4367623622 hasConceptScore W4367623622C86803240 @default.
- W4367623622 hasLocation W43676236221 @default.
- W4367623622 hasOpenAccess W4367623622 @default.
- W4367623622 hasPrimaryLocation W43676236221 @default.
- W4367623622 hasRelatedWork W2106852298 @default.
- W4367623622 hasRelatedWork W2337926734 @default.
- W4367623622 hasRelatedWork W2563713027 @default.
- W4367623622 hasRelatedWork W2567442985 @default.
- W4367623622 hasRelatedWork W2597534175 @default.
- W4367623622 hasRelatedWork W3000866861 @default.
- W4367623622 hasRelatedWork W3007136462 @default.
- W4367623622 hasRelatedWork W3124066309 @default.
- W4367623622 hasRelatedWork W3130336210 @default.
- W4367623622 hasRelatedWork W4311257506 @default.
- W4367623622 isParatext "false" @default.
- W4367623622 isRetracted "false" @default.
- W4367623622 workType "article" @default.