email : 14a53d32aced1f56a73f02dc4be6190e0d1670ed7bade13862ce4c3ab6342474fc4b36fd2fcc82977c740f091114366f83828adc70892be11b695ee72dafd2e1fae66cae65950c96e543a6ec4590f1361f5229778a96ffcf1928500e7b961e16133bc9b262cb36e50388a34f1015cecc690767a17bdcc2980fdfe5e0233930c7
Affiliation of Author(s):Shanghai Jiao Tong University
Journal:Frontiers of Engineering Management
Abstract: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 t
Note:Feng LIU*, Jiaqi JIANG, Yating LU, Zhanyi HUANG, Jiuming JIANG. The ethical security of large language models: A systematic review. Front. Eng, 2025, https://doi.org/10.1007/s42524-025-4082-6
Discipline:工学
First-Level Discipline:Computer Science and Technology
Document Type:J
Translation or Not:no
Date of Publication:2025-01-28
Included Journals:CPCI-S
Indexed by:[J]
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