Security Implication

Security implications in various computing domains, from network infrastructure (like MPLS) to emerging technologies such as quantum and classical machine learning and large language models (LLMs), are a major focus of current research. Studies explore vulnerabilities stemming from data poisoning, model architecture weaknesses, and the inherent limitations of probabilistic systems, analyzing attack vectors and developing mitigation strategies across diverse applications. Understanding and addressing these security concerns is crucial for ensuring the trustworthiness and reliability of increasingly complex and interconnected systems, impacting both the development of secure technologies and the responsible deployment of AI.