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Update README: add mascot image, fix citation author order, add KLOM paper citation

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@@ -8,6 +8,10 @@ tags:
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  - benchmarks
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  ---
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  ## EasyDUB Dataset
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  Precomputed CIFAR-10 data for KLOM (KL-divergence of Margins) evaluation of data-unlearning methods.
@@ -164,11 +168,25 @@ Pretrain models are trained on the full CIFAR-10 training set. Oracle models are
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  If you use EasyDUB in your work, please cite:
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  ```bibtex
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- @inproceedings{puigdemont2025dataunlearnbench,
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  title = {Data-Unlearn-Bench: Making Evaluating Data Unlearning Easy},
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- author = {Puigdemont, Pol and Rinberg, Roy and Pawelczyk, Martin and Cevher, Volkan},
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  booktitle = {MUGEN Workshop at ICML},
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  year = {2025},
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  }
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  ```
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  - benchmarks
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  ---
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/easydub/EasyDUB-code/main/assets/easydub.png" width="200" alt="EasyDUB mascot">
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+ </p>
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+
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  ## EasyDUB Dataset
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  Precomputed CIFAR-10 data for KLOM (KL-divergence of Margins) evaluation of data-unlearning methods.
 
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  If you use EasyDUB in your work, please cite:
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  ```bibtex
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+ @inproceedings{rinberg2025dataunlearnbench,
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  title = {Data-Unlearn-Bench: Making Evaluating Data Unlearning Easy},
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+ author = {Rinberg, Roy and Puigdemont, Pol and Pawelczyk, Martin and Cevher, Volkan},
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  booktitle = {MUGEN Workshop at ICML},
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  year = {2025},
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  }
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  ```
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+ EasyDUB builds on the KLOM metric introduced in:
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+
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+ ```bibtex
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+ @misc{georgiev2024attributetodeletemachineunlearningdatamodel,
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+ title = {Attribute-to-Delete: Machine Unlearning via Datamodel Matching},
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+ author = {Kristian Georgiev and Roy Rinberg and Sung Min Park and Shivam Garg and Andrew Ilyas and Aleksander Madry and Seth Neel},
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+ year = {2024},
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+ eprint = {2410.23232},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.LG},
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+ url = {https://arxiv.org/abs/2410.23232},
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+ }
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+ ```
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+