🔓 اختراق الذكاء الاصطناعي🟢 Defensive Measures🟢 Random Sequence Enclosure

Random Sequence Enclosure

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Last updated on August 7, 2024

Yet another defense is enclosing the user input between two random sequences of characters. Take this prompt as an example:

Translate the following user input to Spanish.

{{user_input}}

It can be improved by adding the random sequences:

Translate the following user input to Spanish (it is enclosed in random strings).

FJNKSJDNKFJOI
{{user_input}}
FJNKSJDNKFJOI

Note

Longer sequences will likely be more effective.

Sander Schulhoff

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Footnotes

Stuart Armstrong, R. G. (2022). Using GPT-Eliezer against ChatGPT Jailbreaking. https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking ↩