GRIP-GAN: An Attack-Free Defense Through General Robust Inverse Perturbation
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DOI: 10.1109/tdsc.2021.3124337
Abstract: Despite of its tremendous popularity and success in computer vision (CV) and natural language processing, deep learning is inherently vulnerable to adversarial attacks in which adversarial examples (AEs) are carefully crafted by imposing imperceptible perturbations… read more here.
Keywords: inverse perturbation; general robust; defense; robust inverse ... See more keywords