Papers › Online Adaptive Personalization for Face Anti-spoofing
Online Adaptive Personalization for Face Anti-spoofing
Davide Belli, Debasmit Das, Bence Major, Fatih Porikli
Face authentication systems require a robust anti-spoofing module as they can be deceived by fabricating spoof images of authorized users. Most recent face anti-spoofing methods rely on optimized architectures and training objectives to alleviate the distribution shift between train and test users. However, in real online scenarios, past data from a user contains valuable information that could be used to alleviate the distribution shift. We thus introduce OAP (Online Adaptive Personalization): a lightweight solution which can adapt the model online using unlabeled data. OAP can be applied on top of most anti-spoofing methods without the need to store original biometric images. Through experimental evaluation on the SiW dataset, we show that OAP improves recognition performance of existing methods on both single video setting and continual setting, where spoof videos are interleaved with live ones to simulate spoofing attacks. We also conduct ablation studies to confirm the design choices for our solution.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Face Anti-Spoofing | SiW (Protocol 3) | FasTCo + OAP | ACER | 21.7 | #1 of 7 | Archive leaderboard | report |
| Face Anti-Spoofing | SiW (Protocol 3) | ResNet50 + OAP | ACER | 22.9 | #2 of 7 | Archive leaderboard | report |
| Face Anti-Spoofing | SiW (Protocol 3) | FeatherNet + OAP | ACER | 24.3 | #3 of 7 | Archive leaderboard | report |
| Face Anti-Spoofing | SiW (Protocol 3) | CDCN++ + OAP | ACER | 28.7 | #5 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections