 Physiological computing is a field of research that utilizes human physiological data as system inputs in real time. It encompasses brain-computer interfaces, effective computing, adaptive automation, health informatics, and physiological signal-based biometrics. Physiological computing can increase the communication bandwidth between humans and computers, but it is susceptible to various types of adversarial attacks, such as those designed to manipulate the training and testing examples to produce incorrect outputs. These attacks have not received sufficient attention and no comprehensive review exists on the topic. This paper provides a systematic review of the literature on adversarial attacks against physiological computing systems, as well as defense strategies for making these systems more secure. The authors hope that this review will encourage further research into the vulnerabilities of physiological computing systems and the development of effective defenses. This article was authored by Wu Dongrui, Su Jiao-sen, Fang Wei-li, and others. We are article.tv, links in the description below.