Keywords:
- anomaly detection
- Backdoor attack
- backdoor attack detection
- Benchmark
- Biometrics
- CNN
- Convolutional neural network.
- Demographic bias
- detection
- embedding translation
- Face Recognition
- Frcsyn-Ongoing
- Generative Ai
- model pairing
- open-set classifica- tion
- open-set classification
- pairing
- security
- Trojan
- trojan attack
Publications of Alexander Unnervik sorted by title
A
| An anomaly detection approach for backdoored neural networks: face recognition as a case study, and , Idiap-RR-08-2022 |
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| An anomaly detection approach for backdoored neural networks: face recognition as a case study, and , in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), Darmstadt, Germany, 2022 |
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F
| FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data, , , , , and , in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pages 892-901, 2024 |
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| FRCSyn-onGoing: Benchmarking and Comprehensive Evaluation of Real and Synthetic Data to Improve Face Recognition Systems, , , , and , in: Information Fusion, 107:102322, 2024 |
[DOI] |
M
| Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks, , , and , in: NeurIPS Safe Generative AI Workshop 2024, 2024 |
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P
| Performing And Detecting Backdoor Attacks on Face Recognition Algorithms, , Ecole Polytechnique Fédérale de Lausanne, 2024 |
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S
| SDFR: Synthetic Data for Face Recognition Competition, , , , and , in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2024 |
[DOI] [URL] |
| Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data, , , , and , in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 3173-3183, 2024 |
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