Digital Image Forensics

Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection
Presentation attack detection is a challenging problem that aims at exposing an impostor user seeking to deceive the authentication …
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The Rise of Data-Driven Models in Presentation Attack Detection
Biometric systems are prevalent in access control but are vulnerable to frauds. A typical attempt of violating them is through …
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Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation …
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Image Provenance Analysis at Scale
Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of …
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Analysis of intrinsic and extrinsic properties of biometric samples for presentation attack detection
Recent advances in biometrics, information forensics, and security have improved the recognition effectiveness of biometric systems. …
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Deep Learning in Biometrics
This chapter explores data-driven approaches to presentation attack detection for three biometric modalities: face, iris, and …
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Provenance filtering for multimedia phylogeny
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny …
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Spotting the difference: Context retrieval and analysis for improved forgery detection and localization
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and …
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U-Phylogeny: Undirected provenance graph construction in the wild
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny …
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Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes
Despite important recent advances, the vulnerability of biometric systems to spoofing attacks is still an open problem. Spoof attacks …
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