23 citations · 37 across the 7 of their papers we have counts for
7 papers
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
Zhen Tan, Chengshuai Zhao, Raha Moraffah +5
Retrieval-Augmented Generative (RAG) models enhance Large Language Models (LLMs) by integrating external knowledge bases, improving their performance in applications like fact-chec…
Exploiting Class Probabilities for Black-box Sentence-level Attacks
Raha Moraffah, Huan Liu
Sentence-level attacks craft adversarial sentences that are synonymous with correctly-classified sentences but are misclassified by the text classifiers. Under the black-box settin…
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar +1
Crafting the ideal, job-specific resume is a challenging task for many job applicants, especially for early-career applicants. While it is highly recommended that applicants tailor…
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
Amrita Bhattacharjee, Huan Liu
Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-g…
Stylometric Detection of AI-Generated Text in Twitter Timelines
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee +3
Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great…
Several classes of optimal -ary cyclic codes with minimal distance four
Gaofei Wu, Huan Liu, Yuqing Zhang
Cyclic codes are a subclass of linear codes and have wide applications in data storage systems, communication systems and consumer electronics due to their efficient encoding and d…