5 papers
From Noise to Meaning: Meaningful Secret Sharing with Tamper Detection for Facial Recognition
Ajnas Muhammed, Iurii Medvedev, Nuno Gonçalves
Popularity of AI-based face recognition system directly demands protection of sensitive biometric data used for training. Visual secret sharing is an interesting idea, as it splits…
MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
Iurii Medvedev, Nuno Goncalves
Face recognition has evolved significantly with the advancement of deep learning techniques, enabling its widespread adoption in various applications requiring secure authenticatio…
Quadruplet Loss For Improving the Robustness to Face Morphing Attacks
Iurii Medvedev, Nuno Gonçalves
Recent advancements in deep learning have revolutionized technology and security measures, necessitating robust identification methods. Biometric approaches, leveraging personalize…
Fused Classification For Differential Face Morphing Detection
Iurii Medvedev, Joana Pimenta, Nuno Gonçalves
Face morphing, a sophisticated presentation attack technique, poses significant security risks to face recognition systems. Traditional methods struggle to detect morphing attacks,…
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection
Joana Pimenta, Iurii Medvedev, Nuno Gonçalves
The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for e…