2018-08-29 04:06:35 +00:00
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*Security and privacy* are rapidly emerging as critical research areas in
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computer science and beyond. Vulnerabilities in software are found and exploited
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almost everyday, with grave consequences. Personal data today is aggregated at
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large scales, increasing the risk of privacy violations or breaches. Finally,
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*machine-learning* (ML) algorithms are seeing real-world applications in
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critical sectors (e.g., health care, automation, and finance), but their
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behavior in the presence of malicious adversaries is poorly understood.
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2018-07-21 20:34:26 +00:00
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2018-08-29 04:06:35 +00:00
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This advanced topics class will cover recent techniques from the frontiers of
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security and privacy research. Topics will be drawn from the following broad
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areas, depending on student interest:
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2018-07-21 20:34:26 +00:00
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### Differential Privacy
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- Basic properties and examples
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- Advanced mechanisms
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- Local differential privacy
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### Adversarial Machine Learning
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- Training-time attacks
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- Test-time attacks
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- Model-theft attacks
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2019-07-31 04:12:03 +00:00
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### Cryptographic Techniques
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- Zero-knowledge proofs
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- Secure multi-party computation
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- Verifiable computation
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2020-10-27 16:27:33 +00:00
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## Learning Outcomes
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By the end of this course, you should be able to...
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- Summarize the basic concepts in differential privacy, applied cryptography,
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and adversarial machine learning.
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- Use techniques from differential privacy to design privacy-preserving data
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analyses.
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- Grasp the high-level concepts from research literature on the main course
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topics.
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- Present and lead a discussion on recent research results.
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- Carry out an in-depth exploration of one topic in the form of a self-directed
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research project.
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## Credit Information
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This is a **3-credit** graduate seminar. For the first 10 weeks of the fall
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semester, we will meet for three 75-minute class periods each week. You should
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expect to work on course learning activities for about 3 hours out of classroom
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for each hour of class.
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## Access and Accommodation
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The University of Wisconsin-Madison supports the right of all enrolled students
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to a full and equal educational opportunity. The Americans with Disabilities Act
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(ADA), Wisconsin State Statute (36.12), and UW-Madison policy (Faculty Document
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1071) require that students with disabilities be reasonably accommodated in
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instruction and campus life. Reasonable accommodations for students with
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disabilities is a shared faculty and student responsibility. Students are
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expected to inform me of their need for instructional accommodations by the end
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of the third week of the semester, or as soon as possible after a disability has
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been incurred or recognized. I will work either directly with you or in
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coordination with the McBurney Center to identify and provide reasonable
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instructional accommodations. Disability information, including instructional
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accommodations as part of a student’s educational record, is confidential and
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protected under FERPA.
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