The use of GRASP-enhanced backdoor attacks raises significant ethical implications in real-world scenarios. By enhancing a backdoor attack with GRASP, adversaries can create more stealthy and harder-to-detect triggers that manipulate machine learning models for malicious purposes. These enhanced attacks could potentially lead to severe consequences such as unauthorized access to sensitive information, biased decision-making processes, or system manipulations that compromise security and privacy. The surreptitious nature of these attacks poses challenges for detecting and mitigating them effectively, highlighting concerns about trustworthiness in AI systems and cybersecurity practices.