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description=Foundations of Privacy (Fall 2021);
author=Steven Wu;

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syllabus foundations of privacy cmu fall 2021 skip to content foundations of privacy cmu fall 2021 syllabus initializing search home schedule assignments resources foundations of privacy cmu fall 2021 home home syllabus syllabus table of contents update this page is no longer maintained overview logistics instructor teaching assistants prerequisites textbooks accommodations for students with disabilities diversity statement communication grading when work is due late assignments special accommodations health wellness schedule schedule lectures assignments assignments homework project resources resources resources table of contents update this page is no longer maintained overview logistics instructor teaching assistants prerequisites textbooks accommodations for students with disabilities diversity statement communication grading when work is due late assignments special accommodations health wellness foundations of privacy update this page is no longer maintained please visit the new course webpage overview privacy is a significant concern in modern society individuals share personal information with many different organizations healthcare financial and educational institutions the census bureau web services providers and online social networks often in electronic form privacy violations occur when such personal information is inappropriately collected shared or used we will study privacy in a few settings where rigorous definitions and enforcement mechanisms are being developed the primary focus of this course is differential privacy a framework of designing data analysis algorithms with strong meaningful and mathematically provable privacy guarantees we will survey a set of algorithmic tools that allow us to privately perform a wide range of statistical analyses and machine learning tasks of course privacy does not come for free and we will also study some of the fundamental limitations imposed by the requirement of differential privacy we will also cover other topics related to privacy including fairness and cryptography please see the calendar for individual lectures logistics course foundations of privacy fall 2021 zoom link see canvas lecture time fall 2021 11 50am 1 10pm est mon weds instructor steven wu email zstevenwu cmu edu office hours 2 00pm 2 45pm est mon location zoom link teaching assistants justin whitehouse email jwhiteho andrew cmu edu office hours 2 00pm 3 00pm est weds location zoom link shuaiqi wang email shuaiqiw andrew cmu edu office hours 2 00pm 3 00pm est thurs location zoom link prerequisites this is a theory oriented course intended for graduate students and advanced undergraduates the informal prerequisite is familiarity with probability linear algebra and introductory algorithms prior coursework in machine learning algorithms and probability will be helpful textbooks there is no need buy any textbook for this course we will provide lecture notes in this course in addition we will frequently use the book the algorithmic foundations of differential privacy by cynthia dwork and aaron roth and the complexity of differential privacy by salil vadhan accommodations for students with disabilities if you have a disability and are registered with the office of disability resources we encourage you to use their online system to notify us of your accommodations and discuss your needs with us as early in the semester as possible we will work with you to ensure that accommodations are provided as appropriate if you suspect that you may have a disability and would benefit from accommodations but are not yet registered with the office of disability resources we encourage you to contact them at access andrew cmu edu diversity statement it is our goal that students from all diverse backgrounds and perspectives are well served by this course that students learning needs be addressed both in and out of class and that the diversity that students bring to this class be viewed as a resource strength and benefit dimensions of diversity include race age national origin ethnicity gender identity and expression intellectual and physical ability sexual orientation faith and non faith perspectives socio economic class political ideology education primary language family status military experience cognitive style and communication style we are intentional in our aim to present materials and activities that are respectful of diversity based on these dimensions and any other visible and invisible differences not captured in this list indeed in this class you will learn to approach technology design from an empathetic human centered perspective that directly examines and challenges bias and inequality your suggestions for ensuring that the class lives up to these values are encouraged and welcomed in addition if at any time you experience or witness anything in this class that challenges inclusion is insensitive or othering or reinforces biases or stereotypes please report those experiences responses can be anonymous communication canvas we will be using canvas for all assignments and grades please also post all questions on canvas as discussions instead of sending emails email if you email your instructors you might want to include the substring foundpriv course to begin a meaningful subject line and have tried to resolve the issue appropriately otherwise for example you should post questions about course material and homework assignments on canvas first and then use emails only after an appropriate amount of time has passed without a response please use your cmu email account grading percentage activity 20 in class activity participation 60 assignment 1 4 15 each 20 take home final 20 when work is due assignments are due on sundays at 11 59pm late assignments we realize that things happen and that you might sometimes not be able to turn in your assignments to accommodate this you will each receive 5 free late days beyond those days you receive a 5 penalty for each day late you are welcome to budget late days as you like for instance 3 free days late for one assignment 2 for another or all 5 for one special accommodations if you have a disability and have an accommodation letter from the disability resources office we encourage you to discuss your accommodations and needs with us as early in the semester as possible we will work with you to ensure that accommodations are provided as appropriate if you suspect that you may have a disability and would benefit from accommodations but are not yet registered with the office of disability resources we encourage you to contact them at access andrew cmu edu health wellness take care of yourself do your best to maintain a healthy lifestyle this semester by eating well exercising avoiding drugs and alcohol getting enough sleep and taking some time to relax this will help you achieve your goals and cope with stress all of us benefit from support during times of struggle there are many helpful resources available on campus and an important part of the college experience is learning how to ask for help asking for support sooner rather than later is almost always helpful if you or anyone you know experiences any academic stress difficult life events or feelings like anxiety or depression we strongly encourage you to seek support counseling and psychological services caps is here to help call 412 268 2922 and visit their website at http www cmu edu counseling consider reaching out to a friend faculty or family member you trust for help getting connected to the support that can help if you or someone you know is feeling suicidal or in danger of self harm call someone immediately day or night caps 412 268 2922 re solve crisis network 888 796 8226 next lectures made with material for mkdocs