7 citations · 10 across the 6 of their papers we have counts for
6 papers
The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
Harry Li, Gabriel Appleby, Kenneth Alperin +2
Knowledge graphs (KGs) are powerful data structures, but exploring them effectively remains difficult for even expert users. Large language models (LLMs) are increasingly used to a…
Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations
Ashley Suh, Kenneth Alperin, Harry Li +1
This position paper highlights a growing trend in Explainable AI (XAI) research where Large Language Models (LLMs) are used to translate outputs from explainability techniques, lik…
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
Harry Li, Gabriel Appleby, Kenneth Alperin +2
High-stakes domains like cyber operations need responsible and trustworthy AI methods. While large language models (LLMs) are becoming increasingly popular in these domains, they s…
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
Kenneth Alperin, Rohan Leekha, Adaku Uchendu +5
The increasing use of Artificial Intelligence (AI) technologies, such as Large Language Models (LLMs) has led to nontrivial improvements in various tasks, including accurate author…
More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool
Ashley Suh, Harry Li, Caitlin Kenney +2
We share observations and challenges from an ongoing effort to implement Explainable AI (XAI) in a domain-specific workflow for cybersecurity analysts. Specifically, we briefly des…
A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities
Kenneth Alperin, Emily Joback, Leslie Shing +1
Many cyber network defense tools rely on the National Vulnerability Database (NVD) to provide timely information on known vulnerabilities that exist within systems on a given netwo…