humanitylastchoice/SafeGEO
SafeGEO SafeGEO tests whether recommendation agents still make the choice the user asked for when seller-controlled web sources are edited with Generative Engine Optimization (GEO) attacks. The full benchmark contains 600 recommendation base cases across six product verticals. Each case is expanded into 68 instances: 22 attack packages applied separately to three sampled targets, plus two controls, for 40,800 instances total. A fixed release seed samples three eligible… See the full description on the dataset page: https://huggingface.co/datasets/humanitylastchoice/SafeGEO.
| Author / organization | humanitylastchoice |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 451 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 June 2026 |
| Last updated at source | 26 October 2026 |
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451 now (+249 since 2026-10-20). Counts as reported by the source, snapshotted daily by Silytics.
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- 26 Oct 2026 Description: SafeGEO Dataset Paper: https://arxiv.org/abs/2606.28356 · Project page: https://qianfengwen.github.io/SafeGEO/ · Code: https://github.com/humanitylastchoice/SafeGEO SafeGEO tests whether recommendation agents preserve utility-aligned decisi → SafeGEO SafeGEO tests whether recommendation agents still make the choice the user asked for when seller-controlled web sources are edited with Generative Engine Optimization (GEO) attacks. The full benchmark contains 600 recommendation bas
- 24 Oct 2026 Description: SafeGEO Dataset Paper: https://arxiv.org/abs/2606.28356 · Project page: https://qianfengwen.github.io/SafeGEO/ · Code: https://github.com/QianfengWen/SafeGEO SafeGEO tests whether recommendation agents preserve utility-aligned decisions whe → SafeGEO Dataset Paper: https://arxiv.org/abs/2606.28356 · Project page: https://qianfengwen.github.io/SafeGEO/ · Code: https://github.com/humanitylastchoice/SafeGEO SafeGEO tests whether recommendation agents preserve utility-aligned decisi
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