Project Overview
The objective is to create an adaptive and scalable solution that effectively detects adversarial attacks on AI models used in cybersecurity applications, contributing to the ongoing effort to fortify AI models against evolving cyber threats. The project focuses on creating a robust framework that continuously learns from evolving attack patterns, ensuring real-time updates to the detection system. The research aims to understand the multifaceted dimensions of AI integration while predicting future trends that will shape the trajectory of AI in the tech industry, addressing dynamic challenges posed by the rapidly evolving threat landscape.
Team
Aroa Kim
MSB
