Face Presentation Attack Detection

Overview

Face Presentation Attack Detection (FacePAD) aims to distinguish genuine live presentations from artifacts or manipulated inputs used to fool biometric systems. Methods range from texture and motion analysis with convolutional networks to Vision Transformers, frequency-based features, and multimodal models that use text, tools, or structured attack knowledge. Researchers evaluate these systems on benchmarks such as OULU-NPU, SiW, and Replay-Attack, including tests that train on one dataset or attack type and evaluate on another. A central challenge is that strong results on familiar data often do not transfer to new sensors, attack methods, demographic groups, or real-time settings.

Latest papers

CardsList

22 papers3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Printed and Scanned: Exposing the Fragility of Single-Image Morphing Attack Detectors under Print-Scan Degradation

    Oct 26, 2026Diogo J. Paulo, Hugo Proença, João C. NevesImage Forgery DetectionFace Presentation Attack Detection

  2. Decoupled Representation Learning for Face Presentation Attack Detection under Smart Glass Capture

    Oct 20, 2026Raghavendra Ramachandra, Narayan Vetrekar, Neha Naik +1Face Presentation Attack DetectionDisentangled Representation Learning

  3. Ghost Attack: Using 19th-Century Illusions to Fool 21st-Century Biometrics

    Oct 16, 2026Tyler Fitzsimmons, Adam CzajkaFace RecognitionFace Presentation Attack Detection

  4. Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection

    Aug 30, 2026Hatef Otroshi Shahreza, Asif Hussain Khan, Peter Lorenz +2Image Forgery DetectionVision Foundation Model Adaptation

  5. Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection

    Aug 20, 2026Guray Ozgur, Fadi Boutros, Naser DamerFace Presentation Attack DetectionDomain Generalization

  6. XSA-MAD: Cross-modal Semantic Alignment for Morphing Attack Detection

    Aug 14, 2026Jie Jin, Mahiro Tokumasu, Yu Makino +2Image Forgery DetectionFace Presentation Attack Detection

  7. LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection

    Aug 10, 2026Peter Lorenz, Anjith George, Marcel SébastienVision Foundation ModelsVision Foundation Model Adaptation

  8. Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark

    Jul 29, 2026Peter Lorenz, Anjith George, Sébastien MarcelVision Foundation ModelsLinear Probing

  9. FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-Spoofing

    Jul 29, 2026Hongyang Wang, Yichen Shi, Hongrui Li +3CoT ReasoningGroup Relative Policy Optimization

  10. DINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing

    Jul 23, 2026Pierre Gallin-Martel, Mika Feng, Koichi Ito +1Vision Foundation Model AdaptationFace Presentation Attack Detection

  11. Unified Face Attack Detection via Fine-Grained Semantic Guidance

    Jul 9, 2026Ning Jiang, Shijie Yu, Dingheng Zeng +4Image Forgery DetectionFace Presentation Attack Detection

  12. Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks

    Jun 16, 2026Ngela Landon Ntung, Floride Tuyisenge, Jema David NdibwileVision TransformerAlgorithmic Fairness

  13. Flow Augmentation and Knowledge Distillation for Lightweight Face Presentation Attack Detection

    May 13, 2026Muhammad Shahid Jabbar, Muhammad Sohail Ibrahim, Taha Hasan Masood Siddique +2Face Presentation Attack Detection

  14. UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning

    May 9, 2026Hongrui Li, Yichen Shi, Hongyang Wang +4Multimodal ReasoningFace Presentation Attack Detection

  15. Generalized Disguise Makeup Presentation Attack Detection Using an Attention-Guided Patch-Based Framework

    Apr 28, 2026Fateme Taraghi, Atefe Aghaei, Mohsen Ebrahimi MoghaddamFace Presentation Attack DetectionFace Recognition

  16. Detection of T-shirt Presentation Attacks in Face Recognition Systems

    Apr 21, 2026Mathias Ibsen, Loris Tim Ide, Christian Rathgeb +1Face Presentation Attack DetectionFace Recognition

  17. SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection

    Mar 16, 2026Diogo J. Paulo, Hugo Proença, João C. NevesImage Forgery DetectionFace Presentation Attack Detection

  18. Face Presentation Attack Detection via Content-Adaptive Spatial Operators

    Feb 21, 2026Shujaat KhanLightweight Neural NetworksFace Presentation Attack Detection

  19. Emergent Morphing Attack Detection in Open Multi-modal Large Language Models

    Feb 17, 2026Marija Ivanovska, Vitomir ŠtrucImage Forgery DetectionFace Presentation Attack Detection