jinyuan-jia / memguard Goto Github PK

Hello Jinyuan Jia, requirements that you stated for running your code are Python 2.7, Keras (2.2.2), TensorFlow 1.8.0. However, TensorFlow is currently supported for Python 3.5–3.8.

Is there anything that I am missing or do you have a way around that?
Thank you!

This dataset seems missing in your github repo，thanks！

I have one question, which code file generate the plot for your paper? Sorry for asking silly question, it's just I want to reproduce this work and learn it well.

Dear Jinyuan Jia,

I hope this email finds you in good health and spirits.

I have been closely following your project, https://github.com/jinyuan-jia/MemGuard, and greatly admire the work that has been done. The datasets provided on the GitHub repository (https://github.com/privacytrustlab/datasets), particularly dataset_location.tgz, have sparked my interest due to their relevance to my current research.

While exploring the datasets, I encountered a specific query regarding the extraction process of two files: data/location/data_complete.npz and data/location/shuffle_index.npz from the dataset_location.tgz archive. These files seem crucial for a comprehensive analysis, and I am keen on understanding the methodology or steps involved in retrieving or generating them from the compressed archive.

Could you kindly enlighten me on how these .npz files were derived from the dataset_location.tgz? Any details about tools, scripts, or commands employed in this process would be immensely helpful and appreciated.

Your guidance will significantly contribute to advancing my research and understanding of the dataset's structure and content. I am eager to delve deeper into the dataset, and resolving this doubt will greatly facilitate my endeavors.

Thank you very much for your time and consideration. I look forward to your valuable response.

Best regards,
Lakshman Kruthik Manubolu