Adversaries and Abuse

Machine learning has become a pivotal component in various industries, enabling advancements in automation, data analysis, and decision-making processes. However, the rise of machine learning also brings about new challenges, particularly in security. Adversaries can exploit machine learning systems, leading to significant abuse and compromising the integrity of these systems. This chapter delves into the nature of adversaries and abuse in machine learning, examining their importance, tools, techniques, and real-world cases.