Efficient and Robust Classification for Sparse Attacks

The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks.

Data and Resources

Cite this as

Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani (2024). Dataset: Efficient and Robust Classification for Sparse Attacks. https://doi.org/10.57702/7lqcael1

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2201.09369
Author Mark Beliaev
More Authors
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani