metadata
pretty_name: ImpMIA Data
tags:
- membership-inference
- privacy
- image-classification
- cifar10
- cifar100
- cinic10
- arxiv:2510.10625
license: other
ImpMIA Data
Data for ImpMIA: Leveraging Implicit Bias for Membership Inference Attack.
Layout
data/
no_auxiliary_knowledge/{cifar10,cifar100,cinic10}/
full_auxiliary_knowledge/cinic10/
Each directory contains x_train.npy, y_train.npy, x_test.npy, and y_test.npy. Images are uint8 arrays in NHWC format; labels are int64.
The No-Auxiliary-Knowledge candidate pools combine 30,000 target-distribution images with auxiliary images from CINIC-10, Open Images, or generated data. Their first 30,000 rows form the target-training source pool. The Full-Auxiliary-Knowledge CINIC-10 pool contains 50,000 CINIC-10 images.
Licensing
See LICENSES.md and the Open Images attribution tables under metadata/.
Citation
@article{golbari2026impmia,
title = {ImpMIA: Leveraging Implicit Bias for Membership Inference Attack},
author = {Golbari, Yuval and Wasserman, Navve and Vardi, Gal and Irani, Michal},
journal = {Transactions on Machine Learning Research},
year = {2026}
}