Backdoor Poisoning Attack Against Face Spoofing Attack Detec…
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- DOI 10.1109/apsipaasc65261.2025.11249111
- OpenAlex ID W4416799999
- Type Conference-paper
- Language EN
- Published 22 Oct 2025
- Pages 2056–2061
- Source Asia-Pacific Signal and Information Proc…
- Countries 1
- Institutions 1
- Added 28 Nov 2025
- Updated 14 Oct 2026
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Backdoor Poisoning Attack Against Face Spoofing Attack Detection Methods
Conference-paper 2025 EN Green
Face recognition systems are robust against environmental changes and noise, and thus may be vulnerable to illegal authentication attempts using user face photos, such as spoofing attacks. To prevent such spoofing attacks, it is crucial to discriminate whether the input image is a live user image or a spoofed image prior to the face recognition process. Most existing spoofing attack detection meth…
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Authors & Affiliations
3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Shota Iwamatsu | Tohoku University (JP) | — |
| 2 | Koichi Ito | Tohoku University (JP) | |
| 3 | Takafumi Aoki | Tohoku University (JP) |
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