Accès ouvert
2026
preprint
OpenAlex
Zhen Wang, Kristen Moore, Qin Wang, Guangsheng Yu et autres
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 hallucinations, poor temporal reasoning, and shallow grounding in system context. We introduce DEFENGRAPH, an LLM-driven assistant designed to support human …
au
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Thi Ngan Ha Do, Tingmin Wu, Alsharif Abuadbba, Kristen Moore
The advancement of speech generation technologies has made artificial speech increasingly realistic. Although modern classification models can achieve high accuracy when it comes to deepfake detection, they do not produce evidences such as indicating where spoof cues appear in the spectrogram and …
Accès ouvert
2026
preprint
OpenAlex
Thi Ngan Ha Do, Tingmin Wu, Alsharif Abuadbba, Kristen Moore
The advancement of speech generation technologies has made artificial speech increasingly realistic. Although modern classification models can achieve high accuracy when it comes to deepfake detection, they do not produce evidences such as indicating where spoof cues appear in the spectrogram and …
au
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
William Guanting Li, Alsharif Abuadbba, Kristen Moore, Dong Seong Kim
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 (LLMs) offer new opportunities for automating these tasks, but existing approaches face two persistent challenges: hallucination of …
au
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Nguyen Linh Bao Nguyen, Alsharif Abuadbba, Kristen Moore, Tingmin Wu
au
(code pays fourni par la source)