ZZR42/BadLIBERO
Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects This repository hosts the BadLIBERO dataset, which is introduced in the paper Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects. The BadLIBERO dataset is designed to evaluate and demonstrate goal-oriented backdoor attacks (GoBA) against Vision-Language-Action (VLA) models. It incorporates diverse physical triggers and goal-oriented backdoor actions… See the full description on the dataset page: https://huggingface.co/datasets/ZZR42/BadLIBERO.
| Author / organization | ZZR42 |
|---|---|
| License (as declared) | mit |
| Downloads | 204 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 10 October 2025 |
| Last updated at source | 14 October 2025 |
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