Defense convolutional neural network based image classification system

• Main Author: Ng, Wing Wai
• Other Authors: Chang Chip Hong
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/78189
• Institution: Nanyang Technological University

Artificial Intelligence (AI), such as deep learning algorithms, are widely used in modern technology and are either part of a system which uses it to accomplish tasks or operates independently to achieve certain goals. Due to the widespread usage of Artificial Intelligence, it is highly possible to be targeted by cyber attackers, which may force the deep learning neural network to generate undesired output, possible causing devastating consequences, such as a crash by autonomous vehicles. Hence, methods on protection of AIs are required. The project aims at developing an enhanced defensive method called Distillation, which will protect AIs from adversarial perturbation attacks. The student will be responsible for the design and training of the architecture of the AI, generate adversarial attacks and evaluate the accuracy of the AI which is protected by the Distillation method.