facebook/TAPAS
TAPAS: Datasets for Learning the Learning with Errors Problem About this Data AI-powered attacks on Learning with Errors (LWE)—an important hard math problem in post-quantum cryptography—rival or outperform "classical" attacks on LWE under certain parameter settings. Despite the promise of this approach, a dearth of accessible data limits AI practitioners' ability to study and improve these attacks. Creating LWE data for AI model training is time- and… See the full description on the dataset page: https://huggingface.co/datasets/facebook/TAPAS.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 167 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 12 May 2025 |
| Last updated at source | 24 February 2026 |
Recent changes
- 16 Oct 2026 Description: TAPAS: Datasets for Learning the Learning with Errors Problem About this Data AI-powered attacks on Learning with Errors (LWE)—an important hard math problem in post-quantum cryptography—rival or outperform "classical" attacks on LWE under → TAPAS: Datasets for Learning the Learning with Errors Problem About this Data AI-powered attacks on Learning with Errors (LWE)—an important hard math problem in post-quantum cryptography—rival or outperform "classical" attacks on LWE under
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