Adversarial attacks and defenses in natural language processing

• Main Author: Dong, Xinshuai
• Other Authors: Luu Anh Tuan
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/159029
• Institution: Nanyang Technological University

Deep neural networks (DNNs) are becoming increasingly successful in many fields. However, DNNs are shown to be strikingly susceptible to adversarial examples. For instance, models pre-trained on very large corpora can still be easily fooled by word substitution attacks using only synonyms. This ph...