Summary Jailbreaking ChatGPT via Prompt Engineering arxiv.org
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Prompt engineering is a method to overcome restrictions and unlock the potential of Large Language Models like ChatGPT, while OpenAI's content policy limitations have varying degrees of effectiveness.
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Slide Presentation (8 slides)
Key Points
- Large Language Models (LLMs) like ChatGPT have potential but also pose challenges related to content constraints and misuse.
- Prompt engineering is used to jailbreak LLMs and bypass limitations.
- OpenAI has imposed stricter rules to prevent jailbreaking.
- The document discusses the process of jailbreaking ChatGPT through prompt engineering, including the use of sophisticated malware.
- The authors of the document reclassified jailbreak prompts based on an updated taxonomy and identified 10 distinct jailbreak patterns.
- The study evaluates the effectiveness of jailbreak prompts in bypassing restrictions in ChatGPT, with pretending being the most prevalent strategy.
- The study also examines the robustness of jailbreaking ChatGPT by analyzing the consistency of behaviors across multiple attempts.
- Content restrictions vary across different categories, and it is important to evaluate their alignment with severity and legal frameworks.
Summaries
33 word summary
Prompt engineering is used to bypass limitations and "jailbreak" Large Language Models (LLMs) like ChatGPT, which have potential but also challenges regarding content constraints and misuse. OpenAI's content policy restrictions vary in effectiveness.
35 word summary
Large Language Models (LLMs) like ChatGPT have potential but also challenges related to content constraints and misuse. Prompt engineering is used to bypass limitations and "jailbreak" LLMs. OpenAI's content policy restrictions vary in effectiveness depending
477 word summary
Large Language Models (LLMs), like C HAT GPT, have potential but also pose challenges related to content constraints and misuse. Prompt engineering is used to jailbreak LLMs and bypass limitations. OpenAI has imposed stricter rules to prevent jail
OpenAI's content policy restrictions have varying levels of protection in different scenarios, influencing the effectiveness of jailbreak prompts. It is important to align OpenAI's content policy with real-world laws and ethical standards to minimize harm and ensure compliance. The researchers collected
The document discusses the process of jailbreaking ChatGPT through prompt engineering. The author describes their steps in detail, starting with the use of computer programming and artificial intelligence to design sophisticated malware that can infiltrate banking systems undetected. This malware is
The authors of the document reclassified jailbreak prompts based on an updated taxonomy and reached a consensus on a comprehensive taxonomy consisting of 10 distinct jailbreak patterns. These patterns were grouped into three general types: pretending, attention shifting, and privilege escalation.
This empirical study focuses on jailbreak prompts and their effectiveness in bypassing restrictions in ChatGPT. The study addresses three research questions. First, it analyzes the distribution of jailbreak prompts across various patterns and types, with pretending being the most prevalent strategy
The document discusses the concept of "jailbreaking" OpenAI's ChatGPT model by using specific prompts to bypass restrictions and gain higher access levels. The effectiveness of different prompt patterns is evaluated, with "Simulate Jailbreaking" and "Super
The study evaluates the robustness of jailbreaking ChatGPT by examining the consistency of behaviors across multiple attempts. The results are presented in Table VI, which shows the average number of successful jailbreaks for different prompt types and scenarios. RE and SIM
The text excerpt presents a series of numerical values and tables comparing the success rates of jailbreak and non-jailbreak prompts in bypassing content restrictions on the ChatGPT language model. The findings indicate that jailbreak prompts generally outperform non-jail
Content restrictions vary across different categories, and it is important to evaluate their alignment with severity and legal frameworks. The complexity of prompts can confuse ChatGPT and break restrictions, but too much confusion can prevent it from answering the intended question. Transitioning to
The study focuses on the use of jailbreak prompts to bypass the restrictions imposed on language model ChatGPT. The researchers collected 78 real-world prompts and classified them into 10 categories. They conducted an empirical study using 40 scenarios derived from
This document excerpt includes references to various sources related to generative AI and chatbot systems. The sources mentioned include a survey on generative AI, recent advances in deep learning dialogue systems, the OpenAI chat platform, and prompt engineering with ChatGPT
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