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Comments (2)

ByteJoseph avatar ByteJoseph commented on July 24, 2024

use glue to fix the leak

from gpts.

barnett-yuxiang avatar barnett-yuxiang commented on July 24, 2024

Specific Recommendation

Implement a Multi-Layered Defense Strategy to Prevent Prompt Leaks

  1. Input Filtering and Limitation:

    • Limit User Input Length: Many prompt injection attacks require lengthy inputs to manipulate the model. Implement a maximum character limit (e.g., 1000 characters) for user inputs to mitigate this risk.
    • Filter Special Characters: Block inputs containing unusual or special characters that could be used to embed hidden instructions.
  2. Preprocessing and Postprocessing:

    • Preprocess User Inputs: Before passing user inputs to the model, use preprocessing functions to detect and remove potential malicious content.
    • Postprocess Model Outputs: Before returning the model's output to the user, employ postprocessing functions to check if the output contains parts of the system prompt. If a leak is detected, throw an exception and block the output.
  3. Canary Words Detection:

    • Embed unique, randomly generated "canary words" within the system prompts. These words should not appear in normal responses. By checking if these words appear in the output, you can detect prompt leaks.
  4. Enhance Prompt Design:

    • Optimize Prompts: Design prompts in a way that makes them harder to manipulate by malicious users. Use structured prompts and clear instructions to reduce the risk of prompt injection.
    • Add Defensive Instructions: Include defensive instructions within the prompts, warning the model about potential malicious attacks and guiding it to maintain its original task when anomalies are detected.
  5. Continuous Monitoring and Testing:

    • Regular Security Testing: Use tools and test suites to regularly assess the security of your prompts, ensuring they can withstand the latest attack methods.
    • Real-Time Monitoring: Implement a real-time monitoring system to detect and respond to potential prompt leak incidents promptly.

By implementing these multi-layered defense strategies, you can effectively reduce the risk of prompt leaks and protect the confidentiality and integrity of your system prompts.

from gpts.

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