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message: "If you use this software, please cite it as below."
title: "VEIL-PGD: Vision-Encoder Imperceptible Layer for Training-Data Protection"
abstract: >-
A research preview of an image-side protection method that applies a
low-visibility, EOT-hardened, ensemble momentum-PGD adversarial perturbation
to public images so that vision and vision-language training-data ingestion
pipelines derive semantically displaced captions, tags, and labels.
authors:
- alias: cebeuq
version: "0.2.1"
date-released: "2026-07-08"
license: LicenseRef-PolyForm-Noncommercial-1.0.0
url: "https://huggingface.co/cebeuq/veil-pgd"
repository-code: "https://huggingface.co/cebeuq/veil-pgd"
keywords:
- training-data-protection
- adversarial-examples
- vision-language-models
- CLIP
- anti-scraping
- PGD
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