In the face of the severe security risks posed by Android malware, effective Android malware detection has become the focus of common concern in both the industry and academia. However, with the emergence of Android adversarial example techniques, existing malware detection systems are facing unprecedented challenges. Android malware adversarial example attacks can bypass existing malware detection models by perturbing the source code or characteristics of malware while keeping its original functionality inact. Despite substantial research on adversarial example attacks against malware, there is still a lack of a comprehensive review specifically focusing on adversarial example attacks in the Android system at present, and the unique requirements for adversarial example design within the Android system are not studied. Therefore, this study begins by introducing the fundamental concepts of Android malware detection. It then classifies existing Android adversarial example techniques from various perspectives and provides an overview of the development sequence of Android adversarial example techniques. Subsequently, it reviews Android adversarial example techniques in recent years, introduces representative work in different categories and analyzes their pros and cons. Furthermore, it categorizes and introduces common means of code perturbation in Android adversarial example attacks, and analyzes their application scenarios. Finally, it discusses the challenges faced by Android malware adversarial example techniques, and envisions future research directions in this emerging field.