Papers Face Morphing Attack Detection
“Face Morphing Attack Detection” 태그가 달린 논문 25편 · 필터 해제
MADation: Face Morphing Attack Detection with Foundation Models
Despite the considerable performance improvements of face recognition algorithms in recent years, the same scientific advances responsible for this progress can also be used to create efficient ways to attack them, posin…
Face Morphing Attack DetectionFace RecognitionZero-shot GeneralizationSynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples
Face morphing attack detection (MAD) algorithms have become essential to overcome the vulnerability of face recognition systems. To solve the lack of large-scale and public-available datasets due to privacy concerns and …
Face Image QualityFace Image Quality AssessmentFace Morphing Attack DetectionFace Recognition+1Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
Morphing attacks are an emerging threat to state-of-the-art Face Recognition (FR) systems, which aim to create a single image that contains the biometric information of multiple identities. Diffusion Morphs (DiM) are a r…
Face Morphing Attack DetectionFace RecognitionGenerative Adversarial NetworkImage MorphingFast-DiM: Towards Fast Diffusion Morphs
Diffusion Morphs (DiM) are a recent state-of-the-art method for creating high quality face morphs; however, they require a high number of network function evaluations (NFE) to create the morphs. We propose a new DiM pipe…
Face Morphing Attack DetectionImage MorphingMORPHImpact of Image Context for Single Deep Learning Face Morphing Attack Detection
The increase in security concerns due to technological advancements has led to the popularity of biometric approaches that utilize physiological or behavioral characteristics for enhanced recognition. Face recognition sy…
Face Morphing Attack DetectionFace RecognitionImage ManipulationFace Morphing Attack Detection with Denoising Diffusion Probabilistic Models
Morphed face images have recently become a growing concern for existing face verification systems, as they are relatively easy to generate and can be used to impersonate someone's identity for various malicious purposes.…
DenoisingFace Morphing Attack DetectionFace VerificationUnveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
Morphing attacks keep threatening biometric systems, especially face recognition systems. Over time they have become simpler to perform and more realistic, as such, the usage of deep learning systems to detect these atta…
Face Morphing Attack DetectionFace RecognitionFace ReconstructionMORPHRobust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques
Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and s…
Face Morphing Attack DetectionFace RecognitionDifferential Newborn Face Morphing Attack Detection using Wavelet Scatter Network
Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and s…
Face Morphing Attack DetectionFace RecognitionMultispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study
Face morphing attack detection is emerging as an increasingly challenging problem owing to advancements in high-quality and realistic morphing attack generation. Reliable detection of morphing attacks is essential becaus…
Face Morphing Attack DetectionDeep Composite Face Image Attacks: Generation, Vulnerability and Detection
Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to generate Composite Face Image Attacks (C…
Face Morphing Attack DetectionFace RecognitionReliable Face Morphing Attack Detection in On-The-Fly Border Control Scenario with Variation in Image Resolution and Capture Distance
Face Recognition Systems (FRS) are vulnerable to various attacks performed directly and indirectly. Among these attacks, face morphing attacks are highly potential in deceiving automatic FRS and human observers and indic…
Face Morphing Attack DetectionFace RecognitionMORPHSYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Conference on Biometrics (IJCB 2022). The c…
Face Morphing Attack DetectionvalidUnsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
The supervised-learning-based morphing attack detection (MAD) solutions achieve outstanding success in dealing with attacks from known morphing techniques and known data sources. However, given variations in the morphing…
Anomaly DetectionFace Morphing Attack DetectionFace RecognitionMorDeephy: Face Morphing Detection Via Fused Classification
Face morphing attack detection (MAD) is one of the most challenging tasks in the field of face recognition nowadays. In this work, we introduce a novel deep learning strategy for a single image face morphing detection, w…
ClassificationFace Morphing Attack DetectionFace RecognitionFace Morphing Attack Detection Using Privacy-Aware Training Data
Images of morphed faces pose a serious threat to face recognition--based security systems, as they can be used to illegally verify the identity of multiple people with a single morphed image. Modern detection algorithms …
Face Morphing Attack DetectionFace RecognitionSingle Morphing Attack Detection using Siamese Network and Few-shot Learning
Face morphing attack detection is challenging and presents a concrete and severe threat for face verification systems. Reliable detection mechanisms for such attacks, which have been tested with a robust cross-database p…
Face Morphing Attack DetectionFace VerificationFew-Shot LearningTriplet3D Face Morphing Attacks: Generation, Vulnerability and Detection
Face Recognition systems (FRS) have been found to be vulnerable to morphing attacks, where the morphed face image is generated by blending the face images from contributory data subjects. This work presents a novel direc…
Face Morphing Attack DetectionFace RecognitionMORPHAlgorithmic Fairness in Face Morphing Attack Detection
Face morphing attacks can compromise Face Recognition System (FRS) by exploiting their vulnerability. Face Morphing Attack Detection (MAD) techniques have been developed in recent past to deter such attacks and mitigate …
Face Morphing Attack DetectionFace RecognitionFairnessMORPHSingle Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Information
Face morphing attack detection is a challenging task. Automatic classification methods and manual inspection are realised in automatic border control gates to detect morphing attacks. Understanding how a machine learning…
Face Morphing Attack Detectionfeature selectionMORPH