7 citations · 7 across the 2 of their papers we have counts for
5 papers
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Quan Zhang, Binqi Zeng, Chijin Zhou +3
Presently, with the assistance of advanced LLM application development frameworks, more and more LLM-powered applications can effortlessly augment the LLMs' knowledge with external…
When Fuzzing Meets LLMs: Challenges and Opportunities
Yu Jiang, Jie Liang, Fuchen Ma +8
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. I…
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
Qifang Zhao, Tianyu Li, Meng Du +5
When doing private domain marketing with cloud services, the merchants usually have to purchase different machine learning models for the multiple marketing purposes, leading to a…
Model-Driven Design of Clinical Guidance Systems
Maryam Rahmaniheris, Yu Jiang, Lui Sha
Clinical guidance systems have been widely adopted to help medical staffs to avoid preventable medical errors such as delay in diagnosis, treatment or untended deviations from best…
A Pathophysiological Model-Driven Communication for Dynamic Distributed Medical Best Practice Guidance Systems
Mohammad Hosseini, Yu Jiang, Poliang Wu +3
There is a great divide between rural and urban areas, particularly in medical emergency care. Although medical best practice guidelines exist in hospital handbooks, they are often…