The ethical security of large language models:A systematic review  

作　　者：Feng LIU Jiaqi JIANG Yating LU Zhanyi HUANG Jiuming JIANG 

机构地区：[1]School of Psychology,Shanghai Jiao Tong University,Shanghai 200030,China [2]School of Computer Science and Technology,East China Normal University,Shanghai 200062,China

出　　处：《Frontiers of Engineering Management》2025年第1期128-140,共13页工程管理前沿(英文版)

基　　金：Beijing Key Laboratory of Behavior and Mental Health,Peking University,China.

摘　　要：The widespread application of large language models(LLMs)has highlighted new security challenges and ethical concerns,attracting significant academic and societal attention.Analysis of the security vulnerabilities of LLMs and their misuse in cybercrime reveals that their advanced text-generation capabilities pose serious threats to personal privacy,data security,and information integrity.In addition,the effectiveness of current LLM-based defense strategies has been reviewed and evaluated.This paper examines the social implications of LLMs and proposes future directions for enhancing their security applications and ethical governance,aiming to inform the development of the field.

关 键 词：security of large language models ethical governance model defense adversarial training social impact 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]