Search Results - zhen+tan

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Exploiting Vulnerabilities and Security Threats in Retrieval-Augmented Generative Models: The LIAR Attack Framework
Invention Description Retrieval-Augmented Generative (RAG) models boost generative AI’s accuracy by connecting large language models (LLMs) with the most current, external, knowledge sources. RAG models are widely used in fact-checking, information retrieval, and AI-driven search engines. Despite their utility, adversarial threats can exploit...
Published: 1/30/2026   |   Inventor(s): Zhen Tan, Chengshuai Zhao, Raha Moraffah, Huan Liu
Keywords(s): Artificial Intelligence, Data Mining, Large Language Models, Machine Learning, Natural Language Processing
Category(s): Artificial Intelligence/Machine Learning, Cybersecurity, Computing & Information Technology, Intelligence & Security, Physical Science
Methods and Systems for Detecting Disinformation Generated by Large Language Models
Background The rapid dissemination of news is an important factor for the global population to stay up to date with current events, or to make well-informed decisions in dynamic sectors like the stock market. Journalists typically include large amounts of quantitative information using data visualization to help enhance accessibility and comprehension...
Published: 9/10/2025   |   Inventor(s): Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
Keywords(s): Data Mining, Disinformation, Large Language Model, Machine Learning
Category(s): Cybersecurity, Physical Science, Artificial Intelligence/Machine Learning