Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models

arXiv:2403.04786v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human-like text. However, with their rising prominence, the security and vulnerability aspects of these models have garnered significant attention. This paper presents a comprehensive survey of the various forms of attacks targeting LLMs, discussing the nature and mechanisms of these attacks, their potential impacts, and current defense strategies. We delve into topics …

abstract arxiv attacks attention become breaking capabilities cs.cl cs.cr however human human-like language language models language processing large language large language models llms natural natural language natural language processing nlp processing security survey text type understanding vulnerability