A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly-Reference-Cited by-同舟云学术

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A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly

Published:2024-06 Issue:2 Volume:4 Page:100211
ISSN:2667-2952
Container-title:High-Confidence Computing
language:en
Short-container-title:High-Confidence Computing

Author:

Yao Yifan^ORCID,Duan Jinhao,Xu Kaidi,Cai Yuanfang,Sun Zhibo,Zhang Yue^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Reference353 articles.

1. Harnessing the power of llms in practice: A survey on chatgpt and beyond;Yang,2023

2. GPT-4 technical report;OpenAI,2023

3. Introducing llama: A foundational, 65-billion-parameter language model;Meta AI,2023

4. Free dolly: Introducing the world’s first open and commercially viable instruction-tuned LLM;Databricks,2023

5. Number of ChatGPT users (nov 2023);Fabio Duarte,2023

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1. Assessing LLMs in malicious code deobfuscation of real-world malware campaigns;Expert Systems with Applications;2024-12

2. Decoding developer password patterns: A comparative analysis of password extraction and selection practices;Computers & Security;2024-10

3. A Survey of Text Watermarking in the Era of Large Language Models;ACM Computing Surveys;2024-09-03

4. Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs;Information Processing & Management;2024-09

5. AI Safety and Security;Advances in Computational Intelligence and Robotics;2024-08-30

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