2 papers
cs.CV2019
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham, Mayank Mishra, Tarun Kumar Yadav +2
Despite their tremendous success in modelling high-dimensional data manifolds, deep neural networks suffer from the threat of adversarial attacks - Existence of perceptually valid…
cs.CV2019
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution
Francis Tom, Himanshu Sharma, Dheeraj Mundhra +2
Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly…