Update README.md

README.md

@@ -79,15 +79,22 @@ bash download_folder.sh oracles/CIFAR10/forget_set_3
 
 
 
-# How to Cite:
-```
-@misc{georgiev2024attributetodeletemachineunlearningdatamodel,
-      title={Attribute-to-Delete: Machine Unlearning via Datamodel Matching}, 
-      author={Kristian Georgiev and Roy Rinberg and Sung Min Park and Shivam Garg and Andrew Ilyas and Aleksander Madry and Seth Neel},
-      year={2024},
-      eprint={2410.23232},
-      archivePrefix={arXiv},
-      primaryClass={cs.LG},
-      url={https://arxiv.org/abs/2410.23232}, 
-}
-```
+## How forget sets generated
+
+We have 10 different forget sets: sets 1,2,3 are random forget sets of sizes 10,100,1000 respectively; sets 4-9 correspond to semantically coherent subpopulations of examples (e.g., all dogs facing a similar direction) identified using clustering methods. 
+Specifically, we take a $n \times n$ datamodel matrix constructed by concatenating ``train x train`` datamodels ($n=50,000$). Next, we compute the top principal components (PCs) of the influence matrix and construct the following forget sets:
+* Forget set 1: 10 random samples
+* Forget set 2: 100 random samples
+* Forget set 3: 500 random samples
+* Forget set 4: 10 samples with the highest projection onto the 1st PC
+* Forget set 5: 100 samples with the highest projection onto the 1st PC
+* Forget set 6: 250 samples with the highest projection onto the 1st PC and 250 with lowest projection
+* Forget set 7: 10 samples with the highest projection onto the 2nd PC
+* Forget set 8: 100 samples with the highest projection onto the 2nd PC
+* Forget set 9: 250 samples with the highest projection onto the 2nd PC and 250 with the lowest projection.
+* Forget set 10: 100 samples closest in CLIP image space to training example 6 (a cassowary)
+
+\paragraph{ImageNet Living-17.} We use three different forget sets: 
+* Forget set 1 is random of size 500;
+* Forget sets 2 and 3 correspond to 200 examples from a certain subpopulation (corresponding to a single original ImageNet class) within the Living-17 superclass.
+