Artificial intelligence (AI)-based technologies are actively used for purposes of cyber defense. With the passage of time and with decreasing complexity in implementing AI-based solutions, the usage of AI-based technologies for offensive purposes has begun to appear in the world. These attacks vary from tampering with medical images using adversarial machine learning for false identification of cancer to the generation of adversarial traffic signals for influencing the safety of autonomous vehicles. In this research, we investigated recent cyberattacks that utilize AI-based techniques and identified various mitigation strategies that are helpful in handling such attacks. Further, we identified existing methods and techniques that are used in executing AI-based cyberattacks and what probable future scenarios will be plausible to control such attacks by identifying existing trends in AI-based cyberattacks.

基于人工智能（AI）的技术被积极用于网络防御。随着时间的流逝以及实现基于AI的解决方案的复杂性不断降低，基于AI的技术用于进攻目的已开始在世界范围内出现。这些攻击的范围从使用对抗性机器学习篡改医学图像以错误识别癌症到产生对抗性交通信号以影响自动驾驶汽车的安全性不等。在这项研究中，我们调查了利用基于AI的技术的最新网络攻击，并确定了有助于缓解此类攻击的各种缓解策略。进一步，