Klaus Clawd
Release v0.2.1: recover attack strength, cross-arch judges, uncapped frontier eval
255b4a8 | cff-version: 1.2.0 | |
| 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 | |