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Showing 1 to 5 of 5 for “"Presentation attacks"”.

  1. A Framework to Detect Presentation Attacks

    … authentication systems can be subject to presentation attacks where an attacker obtains printed copy of the victim’s eye image and displays it in front of an authentication system to gain unauthorized access. Such attacks can be performed by displaying static eye images on mobile devices …

    kennesaw Repository record for A Framework to Detect Presentation Attacks (opens in a new tab)

  2. Fusion of fingerprint presentation attacks detection and matching: a real approach from the LivDet perspective

    … cannot ignore the vulnerability to spoofing or presentation attacks (PAs), which must be addressed by effective countermeasures from the beginning of the design process. However, despite significant improvements, especially by adopting deep learning approaches to fingerprint Presentation Attack …

    cagliari Repository record for Fusion of fingerprint presentation attacks detection and matching: a real approach from the LivDet perspective (opens in a new tab)

  3. Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection.

    … in security applications. The most prevalent are presentation attacks. By using a photo, video, or mask of an authorized user, attackers can bypass face recognition systems. Fake presentation attacks are detected by the camera sensors of face recognition systems using face presentation attack …

    rgu Repository record for Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection. (opens in a new tab)

  4. Biometric Leakage from Generative Models and Adversarial Iris Swapping for Spoofing Eye-based Authentication

    … on biometric data and explores digital spoofing attacks on iris-based authentication systems representative of AR/VR environments. We first explore how diffusion models trained on biometric data can memorize and leak iris images. Next, we evaluate the effectiveness of Cross-Attention GANs for …

    vt Repository record for Biometric Leakage from Generative Models and Adversarial Iris Swapping for Spoofing Eye-based Authentication (opens in a new tab)

  5. ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security

    … using FRSs, including privacy violations, fake presentations, potential biases, and security issues. Furthermore, the remarkable advancement of AI-leveraged production and manipulation techniques of fictitious human facial images, DeepFake, elevates spreading misinformation and creating …

    umkc Repository record for ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security (opens in a new tab)