Keywords:
- Anti-spoofing
- Backdoor attack
- Benchmark
- Biometrics
- Convolutional neural network
- Demographic bias
- detection
- embedding translation
- Face Recognition
- Frcsyn-Ongoing
- Generative Ai
- model pairing
- Mult-channel sensors.
- open-set classifica- tion
- open-set classification
- pairing
- Presentation Attack Detection
- Reproducible research
- Trojan
- trojan attack
- Unseen Attack Detection.
Publications of Anjith George
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2020
Learning One Class Representations for Presentation Attack Detection using Multi-channel Convolutional Neural Networks, and , Idiap-RR-15-2020 |
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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, and , Idiap-RR-30-2020 |
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The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database, , , , and , Idiap-RR-22-2020 |
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2019
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network, , , , , and , in: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019 |
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Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection, and , in: International Conference on Biometrics, 2019 |
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Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing, , and , in: International Conference on Biometrics 2019, IEEE, 2019 |
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