On robustness and interpretability in convolutional neural networks

• 主要作者: Weng, Pei He
• 其他作者: Arvind Easwaran
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2025
• 主題: Computer and Information Science; Robustness; Interpretability; Computer vision; Neural networks
• 在線閱讀: https://hdl.handle.net/10356/184309
• 機構: Nanyang Technological University

Convolutional Neural Networks achieve good performance on vision-related tasks, but often suffer from limited interpretability and are vulnerable to adversarial attacks. Past studies have shown a connection between these issues, and this work aims to quantify how bolstering robustness may influence...