EBSILON®Professional Online Documentation
1. "BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks"
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. bdplarchive.rar
You can find the full text through the official Springer link or IEEE Xplore. 2. "Black-box Discrete Prompt Learning" (BDPL) bdplarchive.rar
It uses differential privacy to obfuscate responses for queries that fall near a model's decision boundary. bdplarchive.rar