Development, Evaluation, and Management of Differentially Private - - PowerPoint PPT Presentation

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Development, Evaluation, and Management of Differentially Private - - PowerPoint PPT Presentation

Development, Evaluation, and Management of Differentially Private ML Pipelines on MyChosenDataset Assignment XX Name 1 (UNI 1), Name 2 (UNI 2) Name 1, Name 2 1 Overview Brief summary of your completed assignments and main results.


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SLIDE 1

Development, Evaluation, and Management of Differentially Private ML Pipelines on MyChosenDataset

Name 1 (UNI 1), Name 2 (UNI 2) Assignment XX

Name 1, Name 2 1

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SLIDE 2

Overview

  • Brief summary of your completed assignments

and main results.

  • 1-2 slides.

Name 1, Name 2 2

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SLIDE 3

Dataset, Tasks, ML Pipelines

  • Describe the dataset you chose, the tasks you defined, and

the ML pipelines you implemented.

  • For the dataset, give a table of give information about the

number of points, the number of features plus some examples of features, the type of featues and dimensions. A table might help convey this information concisely.

  • For the pipelines, describe their structure (figures or code

snippets would be useful, the types of models you train, and any hyper-parameters that you think are key for understanding the results (a table might be useful).

  • 3-5 slides. Include these slides with all assignments, not

just with Assignment 1 that actually develops these pipelines.

Name 1, Name 2 3

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SLIDE 4

Technical Details

  • Include technical details for the specific assignment you are
  • presenting. The detail differs from assignment to

assignment.

– For example, if this is the presentation for Assignment 1, then include technical details that complete the overview descriptions you gave in the “Datasets, Tasks, ML Pipelines” slides. – If this is the presentation for Assignment 2, then include technical details of how you made each pipeline end-to-end DP. – For Assignment 3, include two subsections in this section of the presentation: (1) Bugs I Found in Others’ DP ML Pipelines and (2) Bugs Others Found in My DP ML Pipelines.

  • Unlimited number of slides, but remember that the whole

presentation must be < 15 minutes.

Name 1, Name 2 4

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SLIDE 5

Evaluation

  • Pose the questions, describe the evaluation

methodology, then for each question, present

  • ne or two graphs that convey the answer.

For each graph, don’t forget to spend time introducing the graph (x, y axes, various lines, …).

  • 4-5 slides – methodology, plus ~one slide per

question.

Name 1, Name 2 5

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SLIDE 6

My Take-Aways

  • Formulate your key take-aways from this and

previous assignments.

  • 1 slide.

Name 1, Name 2 6

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SLIDE 7

Acknowledgments

  • If you’ve taken ideas from someone/

somewhere in a way that is awkward to cite inline, please acknowledge them here.

  • 1 slide.

Name 1, Name 2 7

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SLIDE 8

Cited References

Name 1, Name 2 8