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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Development Of A Design Guideline For Pile Foundations Subjected To Liquefaction-Induced Lateral Spreading, Milad Souri, Arash Khosravifar
Development Of A Design Guideline For Pile Foundations Subjected To Liquefaction-Induced Lateral Spreading, Milad Souri, Arash Khosravifar
Student Research Symposium
Past earthquakes confirmed that seismically induced kinematic loads from soil lateral spreading and inertial loads from structure can cause severe damages to pile foundations. The research questions are:
- How to combine inertial and kinematic loads in design of pile foundations in liquefied soil?
- How the combination of inertia and kinematics changes with depth?
- How this combination is affected by long-duration earthquakes?
- How this combination affects inelastic demands in piles?
Exploring And Expanding The One-Pixel Attack, Umairullah Khan, Walt Woods, Christof Teuscher
Exploring And Expanding The One-Pixel Attack, Umairullah Khan, Walt Woods, Christof Teuscher
Student Research Symposium
In machine learning research, adversarial examples are normal inputs to a classifier that have been specifically perturbed to cause the model to misclassify the input. These perturbations rarely affect the human readability of an input, even though the model’s output is drastically different. Recent work has demonstrated that image-classifying deep neural networks (DNNs) can be reliably fooled with the modification of a single pixel in the input image, without knowledge of a DNN’s internal parameters. This “one-pixel attack” utilizes an iterative evolutionary optimizer known as differential evolution (DE) to find the most effective pixel to perturb, via the evaluation of …