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02/03/2020
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network
The lack of interpretability in current deep learning models causes seri...
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10/09/2019
Removing input features via a generative model to explain their attributions to classifier's decisions
Interpretability methods often measure the contribution of an input feat...
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11/01/2018
Improving Adversarial Robustness by Encouraging Discriminative Features
Deep neural networks (DNNs) have achieved state-of-the-art results in va...
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06/05/2018
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks
Deep Neural Networks(DNN) have excessively advanced the field of compute...
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11/06/2017
Convolutional Neural Network Steganalysis's Application to Steganography
This paper presents a novel approach to increase the performance bounds ...
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05/24/2017
A New Parallel Message-distribution Technique for Cost-based Steganography
This paper presents two novel approaches to increase performance bounds ...
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05/21/2017
CrossNets : A New Approach to Complex Learning
We propose a novel neural network structure called CrossNets, which cons...
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05/24/2013
Compressive Sensing of Sparse Tensors
Compressive sensing (CS) has triggered enormous research activity since ...
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06/19/2009