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Parameter Lab

Parameter Lab addresses these challenges, safeguarding individuals and businesses in their AI journey.

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  1. apricot apricot Public

    Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

    Jupyter Notebook 16 4

  2. trap trap Public

    Source code of "TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification", ACL2024 (findings)

    Jupyter Notebook 11

  3. mia-scaling mia-scaling Public

    Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"

    Python 9 1

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  • mia-scaling Public

    Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"

    parameterlab/mia-scaling’s past year of commit activity
    Python 9 MIT 1 0 0 Updated Feb 3, 2025
  • apricot Public

    Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

    parameterlab/apricot’s past year of commit activity
    Jupyter Notebook 16 MIT 4 0 0 Updated Nov 20, 2024
  • trap Public

    Source code of "TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification", ACL2024 (findings)

    parameterlab/trap’s past year of commit activity
    Jupyter Notebook 11 MIT 0 0 0 Updated Nov 20, 2024

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