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Found 2 papers, 1 papers with code
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss
Recently, there has been a large amount of work towards fooling deep-learning-based classifiers, particularly for images, via adversarial inputs that are visually similar to the benign examples.
CFSNet: Toward a Controllable Feature Space for Image Restoration
Deep learning methods have witnessed the great progress in image restoration with specific metrics (e. g., PSNR, SSIM).
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