Summary of Navigating the Risks: a Survey Of Security, Privacy, and Ethics Threats in Llm-based Agents, by Yuyou Gan et al.
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents
by Yuyou Gan, Yong Yang, Zhe Ma, Ping He, Rui Zeng, Yiming Wang, Qingming Li, Chunyi Zhou, Songze Li, Ting Wang, Yunjun Gao, Yingcai Wu, Shouling Ji
First submitted to arxiv on: 14 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the challenges faced by large language models (LLMs) in natural language processing (NLP) tasks when used as control hubs for agents. While LLMs have achieved success in various applications, they are vulnerable to security and privacy threats, which become more severe in agent scenarios. The authors aim to enhance the reliability of LLM-based applications by assessing and mitigating these risks from different perspectives. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper explores ways to improve the security and privacy of LLM-based agents, highlighting the importance of considering potential threats when using transformer-based models for NLP tasks. |
Keywords
» Artificial intelligence » Natural language processing » Nlp » Transformer
