Summary of Security and Privacy Challenges Of Large Language Models: a Survey, by Badhan Chandra Das et al.
Security and Privacy Challenges of Large Language Models: A Survey
by Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
First submitted to arxiv on: 30 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper provides a comprehensive review of the security and privacy challenges associated with Large Language Models (LLMs). Despite their impressive capabilities in text generation, summarization, translation, and question-answering, LLMs are vulnerable to various attacks, including jailbreaking, data poisoning, and Personally Identifiable Information (PII) leakage. The survey assesses the vulnerabilities of LLMs for both training data and users, as well as application-based risks in domains such as transportation, education, and healthcare. It also investigates emerging security and privacy threats and reviews potential defense mechanisms. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models are very smart computers that can understand and respond to human language. They’re great at tasks like writing stories, answering questions, and translating languages. But they’re not perfect – they can be tricked or hacked by bad actors. This paper looks at the dangers of these super-smart computers and how we can keep them safe from harm. |
Keywords
» Artificial intelligence » Question answering » Summarization » Text generation » Translation
