Browse State-of-the-Art › Face Anti-Spoofing
Face Anti-Spoofing
78 papers with code · 8 benchmarks · 17 datasets archive 2025-07-28
Facial anti-spoofing is the task of preventing false facial verification by using a photo, video, mask or a different substitute for an authorized person’s face. Some examples of attacks:
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Print attack: The attacker uses someone’s photo. The image is printed or displayed on a digital device.
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Replay/video attack: A more sophisticated way to trick the system, which usually requires a looped video of a victim’s face. This approach ensures behaviour and facial movements to look more ‘natural’ compared to holding someone’s photo.
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3D mask attack: During this type of attack, a mask is used as the tool of choice for spoofing. It’s an even more sophisticated attack than playing a face video. In addition to natural facial movements, it enables ways to deceive some extra layers of protection such as depth sensors.
( Image credit: Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
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| SiW (Protocol 3) (7 rows) | FasTCo + OAP | Online Adaptive Personalization for Face Anti-spoofing | code | — | Compare |
| CelebA-Spoof-Enroll5 (5 rows) | ResNet 18 Personalized | A personalized benchmark for face anti-spoofing | code | — | Compare |
| SiW-Enroll5 (5 rows) | ResNet18 Personalized | A personalized benchmark for face anti-spoofing | code | — | Compare |
| OULU-NPU (4 rows) | Bi-FPNFAS | Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise... | code | — | Compare |
| Replay-Attack (4 rows) | Entry-V2 | Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning | code | — | Compare |
| MSU-MFSD (3 rows) | Entry-V2 | Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning | code | — | Compare |
| CASIA-MFSD (2 rows) | 3D Synthesis (balancing sampling) | Improving Face Anti-Spoofing by 3D Virtual Synthesis | code | — | Compare |
| MLFP (1 row) | MCCNN (BCE+OCCL)-GMM | Learning One Class Representations for Face Presentation Attack... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
17 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 78 papers with code (204 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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10 Dec 2015 484 repositories listed Syntology ran 230 of 377 samples · 147 unverified · 187 pointer-only (licence)Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
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4 Sep 2014 305 repositories listed Syntology ran 12 of 122 samples · 110 unverified · 4 pointer-only (licence)In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting.
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9 Jul 2019 7 repositories listedThe proposed approach achieves an HTER of 0% in Replay Mobile dataset and an ACER of 0.
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8 May 2020 6 repositories listedIn this paper, we reformulate FAS in an anomaly detection perspective and propose a residual-learning framework to learn the discriminative live-spoof differences which are defined as the spoof cues.
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18 Mar 2020 5 repositories listedDepth supervised learning has been proven as one of the most effective methods for face anti-spoofing.
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9 Mar 2020 5 repositories listedHere we propose a novel frame level FAS method based on Central Difference Convolution (CDC), which is able to capture intrinsic detailed patterns via aggregating both intensity and gradient information.
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29 Jan 2024 4 repositories listedIn an era where biometric security serves as a keystone of modern identity verification systems, ensuring the authenticity of these biometric samples is paramount.
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24 Aug 2014 4 repositories listedMoreover, the nets trained using combined data from two datasets have less biases between two datasets.
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19 Apr 2024 3 repositories listedIn recent years, Face Anti-Spoofing (FAS) has played a crucial role in preserving the security of face recognition technology.
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12 Apr 2024 3 repositories listedSPSC and SDSC augment live samples into simulated attack samples by simulating spoofing clues of physical and digital attacks, respectively, which significantly improve the capability of the model to detect "unseen"…
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18 Oct 2023 3 repositories listedAlthough face anti-spoofing (FAS) methods have achieved remarkable performance on specific domains or attack types, few studies have focused on the simultaneous presence of domain changes and unknown attacks, which is…
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28 Sep 2023 3 repositories listedSpecifically, we show that aligning the image representation with an ensemble of class descriptions (based on natural language semantics) improves FAS generalizability in low-data regimes.
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7 Sep 2023 3 repositories listedFace Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces.
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29 Aug 2023 3 repositories listedIn this paper, we propose an attack type robust face anti-spoofing framework under light flash, called ATR-FAS.
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4 Aug 2023 3 repositories listedEnsuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques.
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6 Jul 2023 3 repositories listedFace presentation attacks (PA), also known as spoofing attacks, pose a substantial threat to biometric systems that rely on facial recognition systems, such as access control systems, mobile payments, and identity…
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4 Jul 2023 3 repositories listedIn this paper, we propose a hierarchical feature modulation (HFM) approach for stable face anti-spoofing in unseen domains and unseen attacks.
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16 May 2023 3 repositories listedIn this work, we propose a unified framework called Latent Distribution Adjusting (LDA) with properties of latent, discriminative, adaptive, generic to improve the robustness of the FAS model by adjusting complex data…
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12 Apr 2023 3 repositories listedLeveraging the WFAS dataset and Protocol 1 (Known-Type), we host the Wild Face Anti-Spoofing Challenge at the CVPR2023 workshop.
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23 Aug 2022 3 repositories listedIn this work, we study multi-domain learning for face anti-spoofing(MD-FAS), where a pre-trained FAS model needs to be updated to perform equally well on both source and target domains while only using target domain…
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13 Jun 2022 3 repositories listedFace anti-spoofing has drawn a lot of attention due to the high security requirements in biometric authentication systems.
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22 Jul 2020 3 repositories listedThe proposed system is evaluated on the publicly available WMCA multi-channel face PAD database, which contains a wide variety of 2D and 3D attacks.
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22 Apr 2019 3 repositories listedFace Anti-spoofing gains increased attentions recently in both academic and industrial fields.
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2 Jan 2019 3 repositories listedSpecifically, we consider a printed photo as a flat surface and mesh it into a 3D object, which is then randomly bent and rotated in 3D space.
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6 Jan 2025 2 repositories listedAlthough face recognition systems have seen a massive performance enhancement in recent years, they are still targeted by threats such as presentation attacks, leading to the need for generalizable presentation attack…
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29 Feb 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against presentation attacks.
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6 Feb 2024 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)For the face forgery detection task, we evaluate GAN-based and diffusion-based data, incorporating visual and acoustic modalities.
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1 Jan 2024 2 repositories listedTo avoid trapping to a trivial solution we devise a novel SCM-guided feature learning by combining many SCMs as pseudo ground-truths to guide a conditional generator to generate latent spoof features for spoof data.
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27 Mar 2022 2 repositories listedPrevious works leverage auxiliary pixel-level supervision and domain generalization approaches to address unseen spoof types.
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29 Dec 2021 2 repositories listedHence, a new research area dealing with the development of more generalized as well as accurate models is increasingly attracting the attention of the research community and industry.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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