1 citations · 1 across the 9 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CR2024
: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models
Fenghua Weng, Yue Xu, Chengyan Fu +1
As deep learning advances, Large Language Models (LLMs) and their multimodal counterparts, Multimodal Large Language Models (MLLMs), have shown exceptional performance in many real…
cs.CL2024★ 1 cited
Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language Models
Yue Xu, Xiuyuan Qi, Zhan Qin +1
Multimodal Large Language Models (MLLMs) extend the capacity of LLMs to understand multimodal information comprehensively, achieving remarkable performance in many vision-centric t…
cs.CL2024
: Natural and Universal Adversarial Attacks on Prompt-based Language Models
Yue Xu, Wenjie Wang
Prompt-based learning is a new language model training paradigm that adapts the Pre-trained Language Models (PLMs) to downstream tasks, which revitalizes the performance benchmarks…