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Using Machine Learning For Web Accessibility, Tlamelo Makati Jan 2023

Using Machine Learning For Web Accessibility, Tlamelo Makati

Academic Posters Collection

This research will explore the potential of machine learning to enhance web accessibility. Web accessibility is typically defined in terms of Web Accessibility Guidelines (WCAG), which states that everyone should be able to perceive, operate, understand and interpret the web regardless of disability or use of assistive technology. We would like to consult digital accessibility experts through interviews and focus groups to understand the web accessibility auditing and remediation processes in detail, with a focus on web navigation. An important goal of this work is to establish development processes where all stakeholders can leverage machine-learning tools to produce more accessible …


Using Torchattacks To Improve The Robustness Of Models With Adversarial Training, William S. Matos Díaz Jan 2021

Using Torchattacks To Improve The Robustness Of Models With Adversarial Training, William S. Matos Díaz

Cybersecurity: Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment

Adversarial training has proven to be one of the most successful ways to defend models against adversarial examples. This process consists of training a model with an adversarial example to improve the robustness of the model. In this experiment, Torchattacks, a Pytorch library made for importing adversarial examples more easily, was used to determine which attack was the strongest. Later on, the strongest attack was used to train the model and make it more robust against adversarial examples. The datasets used to perform the experiments were MNIST and CIFAR-10. Both datasets were put to the test using PGD, FGSM, and …