Bdplarchive.rar -

This research focuses on optimizing discrete prompts for large language models (LLMs) without needing access to the model's internal weights or gradients.

1. "BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks" bdplarchive.rar

It uses differential privacy to obfuscate responses for queries that fall near a model's decision boundary. This research focuses on optimizing discrete prompts for

This archive would typically contain the Python scripts (such as pmi_ngram.py ) and training datasets mentioned in their official GitHub repository . This archive would typically contain the Python scripts

A more recent 2023 paper from (TMLR) uses the same acronym for Black-box Discrete Prompt Learning .

This is the most probable match. Published in (European Symposium on Research in Computer Security), this paper introduces a security layer designed to protect machine learning models from being "stolen" or extracted by adversaries.

If you have a file named bdplarchive.rar from a security repository, it likely contains the implementation of the boundary differentially private layer and the experimental scripts used to verify its effectiveness against extraction attacks.