Adversarial attack defenses for neural networks

• Main Author: Puah, Yi Hao
• Other Authors: Anupam Chattopadhyay
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Watermark; Adversarial
• Online Access: https://hdl.handle.net/10356/175196
• Institution: Nanyang Technological University

The widespread adoption of deep neural networks (DNNs) across various domains has led to the creation of high-performance models trained on extensive datasets. As a result, there is a growing need to protect the intellectual property of these models, leading to the development of various watermar...