1. The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning Open Access Author: Li, Xiaoting Title: The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning Graduate Program: Information Sciences and Technology (PHD) Keywords: Adversarial machine learningAttribute privacySocial goodDefenseAdversarial attacks File: Download PSU_thesis__1_.pdf Committee Members: Ting Wang, Major Field MemberC Lee Giles, Major Field MemberDinghao Wu, Chair & Dissertation AdvisorJinchao Xu, Outside Unit & Field MemberMary Beth Rosson, Program Head/Chair
