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...
| 主要な著者: | , , , , |
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| フォーマット: | Internet publication |
| 言語: | English |
| 出版事項: |
2024
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