Security Challenge

Security challenges in artificial intelligence and related technologies are a major area of research, focusing on vulnerabilities in deep learning models, AI agents, and cloud/fog computing systems. Current efforts utilize various machine learning models, including deep learning architectures like transformers and prototypical networks, to detect and mitigate threats such as DDoS attacks, data poisoning, and model inversion. These advancements are crucial for ensuring the safe and reliable deployment of AI in diverse applications, ranging from critical infrastructure protection to securing sensitive data in healthcare and finance. The overarching goal is to develop robust and explainable security systems that can adapt to the evolving landscape of cyber threats.