Regular biography
Bethan Evans is a Research Fellow in the Department of Mathematics at the University of Oxford. She is affiliated with the Mathematical Institute and is based at the Andrew Wiles Building, Radcliffe Observatory Quarter, Oxford. Her research interests are not explicitly detailed in the provided information. Evans is identified as a postgraduate student within the Machine Learning and Data Science research group.
Scholar-generated biography
Bethan Evans is a PhD student in Mathematics at the University of Oxford, specializing in Deep Learning and Machine Learning. Her research focuses on understanding the theoretical foundations of deep neural networks, particularly in the context of model merging and robustness against adversarial attacks. Evans' work explores the implications of minimal weight perturbations in deep networks, with applications in detecting and mitigating backdoor attacks. Her research contributes to the broader understanding of model behavior and security in machine learning systems. Through her publications, she addresses critical challenges in deep learning, emphasizing the interplay between model architecture, training dynamics, and security vulnerabilities.