37 lines
1.9 KiB
Markdown
37 lines
1.9 KiB
Markdown
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# Course Format
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Lectures will be loosely organized around four modules: differential privacy,
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cryptography, language-based security, and adversarial machine learning. The
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instructor will give most of the lectures for the first module, on differential
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privacy. For each of the remaining modules, the instructor will give the first
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lecture introducing the topic and background material. Then, each student will
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lead one lecture, presenting a paper and guiding the discussion.
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The topics we will be reading and thinking about are from the recent research
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literature---polished enough to be peer-reviewed and published, but not always
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completely refined. Given that this is a graduate course, not all lectures are
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set in stone and there is some flexibility in the choice of topics. Students
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with interested in specific topics not covered in the syllabus should feel free
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to contact the instructor.
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## Readings and Homework
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The bulk of this course consists of reading research papers. Before every
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lecture presenting a paper, students are expected to read the paper closely and
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understand its significance, including (a) the problem addressed by the paper,
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(b) the main contributions of the paper, and (c) how the authors solve the
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problem in some technical detail.
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The instructor will also send out 2-3 questions before every paper presentation.
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Students will submit brief answers---no more than 1-2 paragraphs per
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question---before the lecture. These questions are meant to make sure you have
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understood the paper at a high level and prepare for the discussion in class,
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they are not meant to be very difficult or time-consuming.
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## Course Project
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Students will work individually or in pairs on a topic of their choice,
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producing a conference-style write-up and presenting their project at the end of
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the semester. This project should have the potential to turn into a research
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paper or survey. Details can be found [here](projects/details.md).
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