Investigating the causes of the vulnerability of CNNs to adversarial perturbations: learning objective, model components, and learned representations

• 主要作者: Coppola, Davide
• 其他作者: Guan Cuntai
• 格式: Thesis-Master by Research
• 語言: English
• 出版: Nanyang Technological University 2023
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/171336

This work focuses on understanding how adversarial perturbations can disrupt the behavior of Convolutional Neural Networks (CNNs). Here, it is hypothesized that some components may be more vulnerable than others, unlike other research that considers a model vulnerable as a whole. Identifying model-s...