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Found 4 papers, 4 papers with code
AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection
Biometric security is the cornerstone of modern identity verification and authentication systems, where the integrity and reliability of biometric samples is of paramount importance.
Embedding Non-Distortive Cancelable Face Template Generation
Biometric authentication systems are crucial for security, but developing them involves various complexities, including privacy, security, and achieving high accuracy without directly storing pure biometric data in storage.
Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis
In an era where biometric security serves as a keystone of modern identity verification systems, ensuring the authenticity of these biometric samples is paramount.
Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
In the realm of security applications, biometric authentication systems play a crucial role, yet one often encounters challenges concerning privacy and security while developing one.
