将对抗性恶意软件生成器组合以增加逃避率（英文版）

英文标题：Combining Generators of Adversarial Malware Examples to Increase Evasion Rate中文摘要：研究如何通过结合多种生成器来创造更复杂的对抗性恶意软件，以提高其通过抗病毒工具的效果。英文摘要：Antivirus developers are increasingly embracing machine learning as a keycomponent of malware defense. While machine learning achieves cutting-edgeoutcomes in many fields, it also has weaknesses that are exploited by severaladversarial attack techniques. Many authors have presented both white-box andblack-box generators of adversarial malware examples capable of