Dataset Groups Activity Stream Frequency Centric Defense Mechanisms against Adversarial Examples The proposed work uses the magnitude and phase of the Fourier Spectrum and the entropy of the image to defend against Adversarial Examples. BibTex: @dataset{Sanket_B_Shah_and_Harin_Khakhi_and_Param_Raval_and_Mehul_S_Raval_2024, abstract = {The proposed work uses the magnitude and phase of the Fourier Spectrum and the entropy of the image to defend against Adversarial Examples.}, author = {Sanket B. Shah and Harin Khakhi and Param Raval and Mehul S. Raval}, doi = {10.57702/qup57g4n}, institution = {No Organization}, keyword = {'Adversarial Examples', 'CIFAR-10', 'Deep Learning', 'ImageNet'}, month = {dec}, publisher = {TIB}, title = {Frequency Centric Defense Mechanisms against Adversarial Examples}, url = {https://service.tib.eu/ldmservice/dataset/frequency-centric-defense-mechanisms-against-adversarial-examples}, year = {2024} }
