Backdoor Attacks on Deep Learning Face Detection
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908475323318272 |
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| author | Roux, Quentin Le Teglia, Yannick Furon, Teddy Loubet-Moundi, Philippe |
| author_facet | Roux, Quentin Le Teglia, Yannick Furon, Teddy Loubet-Moundi, Philippe |
| contents | Face Recognition Systems that operate in unconstrained environments capture images under varying conditions,such as inconsistent lighting, or diverse face poses. These challenges require including a Face Detection module that regresses bounding boxes and landmark coordinates for proper Face Alignment. This paper shows the effectiveness of Object Generation Attacks on Face Detection, dubbed Face Generation Attacks, and demonstrates for the first time a Landmark Shift Attack that backdoors the coordinate regression task performed by face detectors. We then offer mitigations against these vulnerabilities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_00620 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Backdoor Attacks on Deep Learning Face Detection Roux, Quentin Le Teglia, Yannick Furon, Teddy Loubet-Moundi, Philippe Computer Vision and Pattern Recognition Artificial Intelligence Cryptography and Security Machine Learning Face Recognition Systems that operate in unconstrained environments capture images under varying conditions,such as inconsistent lighting, or diverse face poses. These challenges require including a Face Detection module that regresses bounding boxes and landmark coordinates for proper Face Alignment. This paper shows the effectiveness of Object Generation Attacks on Face Detection, dubbed Face Generation Attacks, and demonstrates for the first time a Landmark Shift Attack that backdoors the coordinate regression task performed by face detectors. We then offer mitigations against these vulnerabilities. |
| title | Backdoor Attacks on Deep Learning Face Detection |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2508.00620 |