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Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Furthermore, We have also introduced the concept of Inverse FGSM (InvFGSM), which works in the opposite manner of FGSM for the data augmentation.
Adversarial Attacks and Defense on Texts: A Survey
Deep learning models have been used widely for various purposes in recent years in object recognition, self-driving cars, face recognition, speech recognition, sentiment analysis, and many others.
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