Deep neural networks (DNNs) have achieved remarkable performance across a wide range of applications, while they are vulnerable to adversarial examples, which motivates the evaluation and benchmark model robustness. However, current evaluations usually use simple metrics study defenses, far from understanding limitation weaknesses these defense methods. Thus, most proposed defenses quickly show...

This study evolves a model using the concept of variable flow based on limited outcome empirical studies regarding digital experience critical aspects that require theoretical basis. Flow variables in this modeling use 3 stages, starting from independent (interactivity, usability, connectedness, challenge, skill, telepresence, walfare), component (functionality, psychological, content/promoting...