14 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 4 cited
Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures
Victoria Benjamin, Emily Braca, Israel Carter +11
This study systematically analyzes the vulnerability of 36 large language models (LLMs) to various prompt injection attacks, a technique that leverages carefully crafted prompts to…
cs.CL2024★ 14 cited
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang, Wei Chen, Yicong Luo +6
Transformer based large language models have achieved tremendous success. However, the significant memory and computational costs incurred during the inference process make it chal…