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cs.CV2024
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models
Zhongye Liu, Hongbin Liu, Yuepeng Hu +2
Visual hallucination (VH) occurs when a multimodal large language model (MLLM) generates responses with incorrect visual details for prompts. Existing methods for generating VH tes…
cs.CR2024★ 3 cited
Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
Zedian Shao, Hongbin Liu, Jaden Mu +1
Prompt injection attack, where an attacker injects a prompt into the original one, aiming to make an Large Language Model (LLM) follow the injected prompt to perform an attacker-ch…
cs.CR2024
Refusing Safe Prompts for Multi-modal Large Language Models
Zedian Shao, Hongbin Liu, Yuepeng Hu +1
Multimodal large language models (MLLMs) have become the cornerstone of today's generative AI ecosystem, sparking intense competition among tech giants and startups. In particular,…