4 papers
Deviations in Representations Induced by Adversarial Attacks
Daniel Steinberg, Paul Munro
Deep learning has been a popular topic and has achieved success in many areas. It has drawn the attention of researchers and machine learning practitioners alike, with developed mo…
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
Daniel Steinberg, Paul Munro
Deep learning models have been used for a wide variety of tasks. They are prevalent in computer vision, natural language processing, speech recognition, and other areas. While thes…
Visualizing Representations of Adversarially Perturbed Inputs
Daniel Steinberg, Paul Munro
It has been shown that deep learning models are vulnerable to adversarial attacks. We seek to further understand the consequence of such attacks on the intermediate activations of…
Modeling the Evolution of Retina Neural Network
Ziyi Gong, Paul Munro
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…