Pytorch implementation for DPL (ICML 2023).
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Updated
Dec 1, 2023 - Python
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image-perturbation
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Face privacy protection using adversarial perturbations. MI-FGSM attack on FaceNet embeddings achieves cosine similarity < 0.5 with PSNR > 40 dB. 5/5 surrogate model transfer. Flask web UI.
flask privacy computer-vision deep-learning pytorch face-recognition facenet mtcnn adversarial-machine-learning adversarial-examples fgsm mi-fgsm image-perturbation biometric-privacy identity-cloaking
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Updated
May 27, 2026 - HTML
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