Datasets › LoWRA Bench Dataset

LoWRA Bench Dataset

Introduced by Eliahu Horwitz et al. in Recovering the Pre-Fine-Tuning Weights of Generative Models15 Feb 2024 archive 2025-07-28

The LoRA Weight Recovery Attack (LoWRA) Bench is a comprehensive benchmark designed to evaluate Pre-Fine-Tuning (Pre-FT) weight recovery methods as presented in the "Recovering the Pre-Fine-Tuning Weights of Generative Models" paper.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • LoWRA Bench Dataset

1 variant name, as the archive lists them.

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