As firm as their foundations: can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Foundation models pre-trained on web-scale vision-language data, such as CLIP, are widely used as cornerstones of powerful machine learning systems. While pre-training offers clear advantages for downstream learning, it also endows downstream models with shared adversarial vulnerabilities that can b...
| Hlavní autoři: | , , , , |
|---|---|
| Médium: | Internet publication |
| Jazyk: | English |
| Vydáno: |
2024
|