sonhl0723/yale-face-dataset-recognition
Face Recognition Model(CNN) Using Yale Face Dataset & Establishing Robustness About Adversarial-attacks
This project helps evaluate and build face recognition systems that are robust against malicious attempts to fool them. You input a collection of facial images and it outputs a model that can identify individuals, along with analysis of how well it resists specific adversarial attacks. This is useful for security engineers or researchers building dependable facial recognition systems.
No commits in the last 6 months.
Use this if you need to understand or improve the resilience of a face recognition system against adversarial attacks.
Not ideal if you're looking for a simple, off-the-shelf facial recognition system without a focus on adversarial robustness.
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8
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4
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 07, 2022
Commits (30d)
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