most citedUniversal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning

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cs.CR2025

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models

Jinming Wen, Xinyi Wu, Shuai Zhao +2

Multimodal large language models (MLLMs), which bridge the gap between audio-visual and natural language processing, achieve state-of-the-art performance on several audio-visual ta…

cs.CR2024

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning

Shuai Zhao, Leilei Gan, Luu Anh Tuan +4

Recently, various parameter-efficient fine-tuning (PEFT) strategies for application to language models have been proposed and successfully implemented. However, this raises the que…