4 papers
Conjunctive Poisoning in AI Supply-Chain Applications
Nokimul Hasan Arif, Qian Lou, Mengxin Zheng
Large Language and Vision-Language Models are increasingly deployed through inference pipelines that include prompt wrappers (e.g., templates and post-processing scripts) and confi…
Conjunctive Prompt Attacks in Multi-Agent LLM Systems
Nokimul Hasan Arif, Qian Lou, Mengxin Zheng
Most LLM safety work studies single-agent models, but many real applications rely on multiple interacting agents. In these systems, prompt segmentation and inter-agent routing crea…
Moral Sycophancy in Vision Language Models
Shadman Rabby, Md. Hefzul Hossain Papon, Sabbir Ahmed +3
Sycophancy in Vision-Language Models (VLMs) refers to their tendency to align with user opinions, often at the expense of moral or factual accuracy. While prior studies have explor…
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model
Nokimul Hasan Arif, Shadman Rabby, Md Hefzul Hossain Papon +1
Visual hallucinations in Large Language Models (LLMs), where the model generates responses that are inconsistent with the visual input, pose a significant challenge to their reliab…