Cyber Security
Cybersecurity research intensely focuses on leveraging artificial intelligence, particularly large language models (LLMs) and deep reinforcement learning (DRL), to enhance threat detection and response. Current efforts involve applying these models to diverse tasks, including malware analysis, vulnerability detection, and intrusion detection, often utilizing techniques like fine-tuning and adversarial training to improve robustness. This research is crucial for mitigating the ever-evolving sophistication of cyberattacks and improving the security of systems ranging from software applications to smart grids and autonomous vehicles. The ultimate goal is to develop more effective and proactive cybersecurity defenses.
Papers
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