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Vulnerabilities of Unattended Face Verification Systems to Facial Components-based Presentation Attacks: An Empirical Study

https://doi.org/10.1145/3491199
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01270-0_34openalex-snapshot
Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection
inferredcites →https://doi.org/10.1007/978-3-030-58571-6_33openalex-snapshot
Face Anti-Spoofing with Human Material Perception
inferredcites →https://doi.org/10.1007/s11042-017-4780-0openalex-snapshot
Face presentation attack detection using guided scale texture
inferredcites →https://doi.org/10.1016/j.cviu.2020.102988openalex-snapshot
Adversarial examples for replay attacks against CNN-based face recognition with anti-spoofing capability
inferredcites →https://doi.org/10.1016/j.jvcir.2019.102746openalex-snapshot
Face presentation attack detection based on chromatic co-occurrence of local binary pattern and ensemble learning
inferredcites →https://doi.org/10.1016/j.patcog.2019.107032openalex-snapshot
A survey on 3D mask presentation attack detection and countermeasures
inferredcites →https://doi.org/10.1109/bigmm.2019.00018openalex-snapshot
Deceiving Face Presentation Attack Detection via Image Transforms
inferredcites →https://doi.org/10.1109/btas.2014.6996240openalex-snapshot
The magic passport
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00101openalex-snapshot
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/cvpr.2019.00481openalex-snapshot
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00534openalex-snapshot
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/cvprw.2019.00008openalex-snapshot
Evading Face Recognition via Partial Tampering of Faces
inferredcites →https://doi.org/10.1109/cvprw.2019.00202openalex-snapshot
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00415openalex-snapshot
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
inferredcites →https://doi.org/10.1109/fg.2018.00020openalex-snapshot
VGGFace2: A Dataset for Recognising Faces across Pose and Age
inferredcites →https://doi.org/10.1109/icb-201330273.2013openalex-snapshot
2013 International Conference on Biometrics (ICB)
inferredcites →https://doi.org/10.1109/icb.2012.6199754openalex-snapshot
A face antispoofing database with diverse attacks
inferredcites →https://doi.org/10.1109/icb.2013.6612981openalex-snapshot
Can face anti-spoofing countermeasures work in a real world scenario?
inferredcites →https://doi.org/10.1109/icb.2016.7550052openalex-snapshot
Reliable face anti-spoofing using multispectral SWIR imaging
inferredcites →https://doi.org/10.1109/icccn.2018.8487325openalex-snapshot
CCoLBP: Chromatic Co-Occurrence of Local Binary Pattern for Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/icpr.2014.211openalex-snapshot
Face Anti-spoofing Based on General Image Quality Assessment
inferredcites →https://doi.org/10.1109/isba.2017.7947686openalex-snapshot
Spoofing faces using makeup: An investigative study
inferredcites →https://doi.org/10.1109/iwbf.2019.8739236openalex-snapshot
Custom silicone Face Masks: Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection
inferredcites →https://doi.org/10.1109/iwbf49977.2020openalex-snapshot
2020 8th International Workshop on Biometrics and Forensics (IWBF)
inferredcites →https://doi.org/10.1109/sp40000.2020.00045openalex-snapshot
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
inferredcites →https://doi.org/10.1109/tbiom.2019.2903860openalex-snapshot
Recognizing Disguised Faces in the Wild
inferredcites →https://doi.org/10.1109/tbiom.2019.2946175openalex-snapshot
Detection of Age-Induced Makeup Attacks on Face Recognition Systems Using Multi-Layer Deep Features
inferredcites →https://doi.org/10.1109/tdsc.2016.2550459openalex-snapshot
Empirical Study of Face Authentication Systems Under OSNFD Attacks
inferredcites →https://doi.org/10.1109/tifs.2015.2400395openalex-snapshot
Face Spoof Detection With Image Distortion Analysis
inferredcites →https://doi.org/10.1109/tifs.2016.2555286openalex-snapshot
Face Spoofing Detection Using Colour Texture Analysis
inferredcites →https://doi.org/10.1109/tifs.2016.2561898openalex-snapshot
Detecting Facial Retouching Using Supervised Deep Learning
inferredcites →https://doi.org/10.1109/tifs.2018.2801312openalex-snapshot
Unsupervised Domain Adaptation for Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/tifs.2018.2825949openalex-snapshot
Learning Generalized Deep Feature Representation for Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/tifs.2020.2985530openalex-snapshot
Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/tifs.2020.2988168openalex-snapshot
Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/tifs.2020.3002390openalex-snapshot
Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/tifs.2020.3013214openalex-snapshot
Learning One Class Representations for Face Presentation Attack Detection Using Multi-Channel Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tifs.2020.3026553openalex-snapshot
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/tifs.2020.3029879openalex-snapshot
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
inferredcites →https://doi.org/10.1109/tip.2013.2237920openalex-snapshot
Structured Sparse Error Coding for Face Recognition With Occlusion
inferredcites →https://doi.org/10.1109/tip.2015.2422574openalex-snapshot
Face Liveness Detection From a Single Image via Diffusion Speed Model
inferredcites →https://doi.org/10.1109/tmm.2017.2750415openalex-snapshot
Dynamic Texture Recognition Using Volume Local Binary Count Patterns With an Application to 2D Face Spoofing Detection
inferredcites →https://doi.org/10.1145/2810103.2813612openalex-snapshot
Seeing Your Face Is Not Enough
inferredcites →https://doi.org/10.1145/2976749.2978392openalex-snapshot
Accessorize to a Crime
inferredcites →https://doi.org/10.1145/3038924openalex-snapshot
Presentation Attack Detection Methods for Face Recognition Systems
inferredcites →https://doi.org/10.1145/3317611openalex-snapshot
A General Framework for Adversarial Examples with Objectives
inferredcites →https://doi.org/10.1145/3351261openalex-snapshot
VLA
inferredcites →https://doi.org/10.1609/aaai.v34i07.6866openalex-snapshot
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
inferredcites →https://doi.org/10.48550/arxiv.1803.04683openalex-snapshot
Invisible Mask: Practical Attacks on Face Recognition with Infrared
inferredcites →https://doi.org/10.5244/c.29.41openalex-snapshot
Deep Face Recognition
inferredcites →https://doi.org/10.5555/1577069.1755843openalex-snapshot
Dlib-ml: A Machine Learning Toolkit

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781394305490.ch7openalex-snapshot
Innovations in AI and ML for Medical Imaging
inferred← citeshttps://doi.org/10.1007/978-3-031-48855-9_17openalex-snapshot
Social Engineering Shoulder Surfing Attacks (SSAs): A Literature Review. Lessons, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2025.3550024openalex-snapshot
Rectifying Adversarial Examples Using Their Vulnerabilities
inferred← citeshttps://doi.org/10.1109/comst.2023.3319492openalex-snapshot
Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey
inferred← citeshttps://doi.org/10.1109/jsen.2023.3269440openalex-snapshot
Gesture-Related Two-Factor Authentication for Wearable Devices via PPG Sensors
inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179351openalex-snapshot
Spoofing Real-world Face Authentication Systems through Optical Synthesis
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3674133openalex-snapshot
Proactive Defense for Physical-World 3D Adversarial Face Presentation Attacks
inferred← citeshttps://doi.org/10.1109/tpami.2026.3664842openalex-snapshot
AdvDiffusion: Adversarial Patches Generation for Face Recognition With High Transferability in Physical Domain
inferred← citeshttps://doi.org/10.1145/3629976openalex-snapshot
DeepMark: A Scalable and Robust Framework for DeepFake Video Detection
inferred← citeshttps://doi.org/10.1145/3634914openalex-snapshot
DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models
inferred← citeshttps://doi.org/10.1145/3643831openalex-snapshot
Detection of Adversarial Facial Accessory Presentation Attacks Using Local Face Differential
inferred← citeshttps://doi.org/10.1145/3817059openalex-snapshot
Watermarking for Model Ownership Verification:Invisible at Deployment, Activated by Updates
inferred← citeshttps://doi.org/10.3390/jimaging11010012openalex-snapshot
Hybrid Quality-Based Recommender Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.38146/bsz-ajia.2025.v73.i3.pp477-494openalex-snapshot
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