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.
This archive would typically contain the Python scripts (such as pmi_ngram.py ) and training datasets mentioned in their official GitHub repository . 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. This is the most probable match
A more recent 2023 paper from (TMLR) uses the same acronym for Black-box Discrete Prompt Learning . bdplarchive.rar