machine-unlearning-bench/data-unlearning-bench
Dataset for the evaluation of data-unlearning techniques using KLOM (KL-divergence of Margins). How KLOM works: KLOM works by: training N models (original models) Training N fully-retrained models (oracles) on forget set F unlearning forget set F from the original models Comparing the outputs of the unlearned models from the retrained models on different points (specifically, computing the KL divergence between the distribution of margins of oracle models and distribution of… See the full description on the dataset page: https://huggingface.co/datasets/machine-unlearning-bench/data-unlearning-
| Author / organization | machine-unlearning-bench |
|---|---|
| License (as declared) | mit |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 May 2025 |
| Last updated at source | 20 May 2025 |
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