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.
It uses differential privacy to obfuscate responses for queries that fall near a model's decision boundary.
1. "BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks"
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.
A more recent 2023 paper from (TMLR) uses the same acronym for Black-box Discrete Prompt Learning .
This research focuses on optimizing discrete prompts for large language models (LLMs) without needing access to the model's internal weights or gradients.
Bdplarchive.rar
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.
It uses differential privacy to obfuscate responses for queries that fall near a model's decision boundary. bdplarchive.rar
1. "BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks" If you have a file named bdplarchive
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 research focuses on optimizing discrete prompts for
A more recent 2023 paper from (TMLR) uses the same acronym for Black-box Discrete Prompt Learning .
This research focuses on optimizing discrete prompts for large language models (LLMs) without needing access to the model's internal weights or gradients.