15 citations · 21 across the 13 of their papers we have counts for
5 papers · 1 filter
Connecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challenges
Heewon Baek, Alsharif Abuadbba, Kristen Moore +2
Agentic AI extends LLM security beyond generated content to persistent state, autonomous actions, tool use, and interactions with humans and other agents. Existing threat classific…
Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study
Zahra Mousavi, Chadni Islam, M. Ali Babar +2
AI code assistants are transforming software development, but their implications for software security remain a major concern, particularly in the context of security APIs. These A…
DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense
Zhen Wang, Kristen Moore, Qin Wang +7
Large Language Models (LLMs) show promise for supporting decision-making in cybersecurity, but their reliability in high-stakes, time-evolving environments remains limited due to h…
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis
Thi Ngan Ha Do, Tingmin Wu, Alsharif Abuadbba +1
The advancement of speech generation technologies has made artificial speech increasingly realistic. Although modern classification models can achieve high accuracy when it comes t…
APT-Agent: Automated Penetration Testing using Large Language Models
William Guanting Li, Alsharif Abuadbba, Kristen Moore +1
Penetration testing is essential to securing modern web infrastructures, yet traditional manual methods struggle to keep pace with their scale and complexity. Large Language Models…