Data Science Academic Technical Research Writing Skills Required (Master's level) -- 2
Budget: €30 – €250 EUR
This will be a master's level academic thesis report where you will be guided with all the technical knowledge of the project. A project proposal will be provided for reference. You have to extend all the headings with appropriate research knowledge.
The Topic of the research report is: "Membership Inference Attack with Differential Privacy on Machine Learning Models."
The report aims to determine whether DP provides practical protection against membership inference attack under statistical dependencies among samples."
All the research papers that are mandatory to read will be provided for the report.
Link for Core Papers for Academic Writing
https://paperswithcode.com/paper/membership-inference-attacks-against-machine
https://paperswithcode.com/paper/deep-learning-with-differential-privacy#code
The main topics of the research are:
1. Membership Inference Attack
2. Differential Privacy
3. Neural Network Machine Learning model (A binary classifier)
The report should comprise about 40 pages without references and be written in Latex. It should not have any plagiarism and have Grammarly checked. The proposal is also written in Latex so it can be easily extended. The report should properly cite references to each paper. All reports should be well organized and summarized with diagrams and tables.
I am looking for someone who has experience with writing a technical report with machine learning practical and theoretical knowledge and could understand the code provided to sum up the details and facts. The code provided will be written in python. In addition, a writer should understand how the dataset is processed and all the steps to run a machine learning model.
Anyone interested should mention the time in which they can finish this report.
All the other details will be provided upon further request.
The Topic of the research report is: "Membership Inference Attack with Differential Privacy on Machine Learning Models."
The report aims to determine whether DP provides practical protection against membership inference attack under statistical dependencies among samples."
All the research papers that are mandatory to read will be provided for the report.
Link for Core Papers for Academic Writing
https://paperswithcode.com/paper/membership-inference-attacks-against-machine
https://paperswithcode.com/paper/deep-learning-with-differential-privacy#code
The main topics of the research are:
1. Membership Inference Attack
2. Differential Privacy
3. Neural Network Machine Learning model (A binary classifier)
The report should comprise about 40 pages without references and be written in Latex. It should not have any plagiarism and have Grammarly checked. The proposal is also written in Latex so it can be easily extended. The report should properly cite references to each paper. All reports should be well organized and summarized with diagrams and tables.
I am looking for someone who has experience with writing a technical report with machine learning practical and theoretical knowledge and could understand the code provided to sum up the details and facts. The code provided will be written in python. In addition, a writer should understand how the dataset is processed and all the steps to run a machine learning model.
Anyone interested should mention the time in which they can finish this report.
All the other details will be provided upon further request.