Privacy: more than meets the eye. Daniel Kifer (Penn State University)
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1 Privacy: more than meets the eye Daniel Kifer (Penn State University)
2 Data SSN Zip Age Nationality Disease Russian Heart American Heart Japanese Viral American Viral Indian Cancer
3 Big Data? SSN Zip Age Nationality Disease Russian Heart American Heart Japanese Viral American Viral Indian Cancer Russian Heart American Viral American Viral American Cancer Indian Cancer Japanese Cancer American Cancer French Viral German Heart
4 Big Data? SSN Zip Age Nationality Disease Russian Heart American Heart Japanese Viral American Viral Indian Cancer Russian Heart American Viral American Viral American Cancer Indian Cancer Japanese Cancer American Cancer French Viral German Heart
5 Big Data? SSN Zip Age Nationality Disease Income Height Weight Russian Heart 88K 104cm 105kg American Heart 12K 140cm 45kg Japanese Viral 64K 202cm 48kg American Viral 22K 167cm 93kg Indian Cancer 33K 118cm 62kg Russian Heart 20K 183cm 99kg American Viral 84K 156cm 54kg American Viral 18K 166cm 65kg American Cancer 46K 97cm 64kg Indian Cancer 13K 183cm 74kg Japanese Cancer 73K 120cm 110kg American Cancer 19K 172cm 56kg French Viral 53K 110cm 54kg German Heart 47K 191cm 52kg
6 Big Data? SSN Zip Age Nationality Disease Income Height Weight Russian Heart 88K 104cm 105kg American Heart 12K 140cm 45kg Japanese Viral 64K 202cm 48kg American Viral 22K 167cm 93kg Indian Cancer 33K 118cm 62kg Russian Heart 20K 183cm 99kg American Viral 84K 156cm 54kg American Viral 18K 166cm 65kg American Cancer 46K 97cm 64kg Indian Cancer 13K 183cm 74kg Japanese Cancer 73K 120cm 110kg American Cancer 19K 172cm 56kg French Viral 53K 110cm 54kg German Heart 47K 191cm 52kg
7 Big Data friend friend
8 Big Data friend friend
9 Data Sanitizing Software Published Data
10 Lesson 1 Privacy is not about what is in/out of sanitized data.
11 Lesson 1 Ashwin222 Ashwin222 Ashwin222 Ashwin222 Dkifer1567 Dkifer1567 David1234 David1234 David1234 David1234 Ashwin222 Ashwin222 Uefa cup Uefa champions league Champions league final Champions league final 2008 exchangeability Proof of definetti s theorem Zombie games Warcraft Beatles anthology Ubuntu breeze Grammy 2008 nominees Amy Winehouse rehab
12 Lesson 1 (this doesn't work) Uefa cup Uefa champions league Champions league final Champions league final 2008 exchangeability Proof of definetti s theorem Zombie games Warcraft Beatles anthology Ubuntu breeze Grammy 2008 nominees Amy Winehouse rehab Barbaro, Zeller. "A Face Is Exposed for AOL Searcher No " The New York TImes, 2006.
13 Lesson 1 (neither does this) Kumar, Novak, Pang, Tomkins. "On anonymizing query logs via token based hashing." ACM International conference on the World Wide Web (WWW),2007.
14 Lesson 1 Privacy is not about what is in/out of sanitized data. It is about (statistical) inference
15 Data Sanitizing Software Published Data
16 Lesson 2 Privacy is about behavior of sanitizing software (i.e. the algorithm). But not about what it outputs.
17 Who stole the cookie from the cookie jar? I can neither confirm nor deny that I stole the cookie. I can neither confirm nor deny that I stole the cookie.
18 Who stole the cookie from the cookie jar? If steal: "cannot confirm nor deny" If not steal: "not I" Always say "cannot confirm nor deny"
19 Lesson 2 Privacy is about behavior of sanitizing software (i.e. the algorithm). But not about what it outputs. Algorithm must be revealed (for end-user utility) How likely is output if secret is true? How likely is output if secret is false? P(output secret=true) vs. P(output secret=false) e.g., Differential privacy, Pufferfish, Adversarial Privacy, etc.
20 Lesson 3 Based on the data, P(Bob has cancer)=0.9
21 Lesson 3 Statistical inference: Learning something about the population (underlying phenomenon that generated data) Learning how Bob differs from the population
22 Population inference Well understood (and differential privacy separates population inference from individual variations) More work needed (what is a "property of the population"? what is an "individual variation"? what is the underlying phenomenon?)
23
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