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Found 4 papers, 3 papers with code
Deviations in Representations Induced by Adversarial Attacks
Deep learning has been a popular topic and has achieved success in many areas.
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
While these models have worked well under many scenarios, it has been shown that they are vulnerable to adversarial attacks.
Visualizing Representations of Adversarially Perturbed Inputs
It has been shown that deep learning models are vulnerable to adversarial attacks.
Modeling the Evolution of Retina Neural Network
Vital to primary visual processing, retinal circuitry shows many similar structures across a very broad array of species, both vertebrate and non-vertebrate, especially functional components such as lateral inhibition.
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