Dataset Groups Activity Stream Efficient and Robust Classification for Sparse Attacks The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks. BibTex: @dataset{Mark_Beliaev_and_Payam_Delgosha_and_Hamed_Hassani_and_Ramtin_Pedarsani_2024, abstract = {The MNIST and CIFAR datasets are used to test the robustness of neural networks against sparse attacks.}, author = {Mark Beliaev and Payam Delgosha and Hamed Hassani and Ramtin Pedarsani}, doi = {10.57702/7lqcael1}, institution = {No Organization}, keyword = {'neural networks', 'robust classification', 'sparse attacks'}, month = {dec}, publisher = {TIB}, title = {Efficient and Robust Classification for Sparse Attacks}, url = {https://service.tib.eu/ldmservice/dataset/ef-cient-and-robust-classi-cation-for-sparse-attacks}, year = {2024} }
