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Profil bibliographique

Kristen Moore

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées
0Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Generative Adversarial Networks and Image SynthesisSpeech Recognition and SynthesisAdversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)Network Security and Intrusion Detection

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense

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)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis

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 …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis

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)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

APT-Agent: Automated Penetration Testing using Large Language Models

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)

0 citations arXiv (Cornell University)

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