November 2013

Latanya Sweeney named Chief Technologist at FTC

We'd like to congratulate Latanya Sweeney (Co-PI on the Privacy Tools project) on being appointed as the Chief Technologist of the Federal Trade Commission (FTC).

Excerpt from the FTC press release:

Federal Trade Commission Chairwoman Edith Ramirez announced the appointments of Latanya Sweeney as the agency’s Chief Technologist...


Dr. Sweeney is a professor of government and technology at Harvard Read more about Latanya Sweeney named Chief Technologist at FTC

Nov 18: "Automating the Process for Achieving Acceptable Tolerances in Data De-Identification for Analytics Purposes" (Michael Logan and Joseph Santangelo, Axis Technology)

Technology in Government (TIG)  and Topics in Privacy (TIP) Discussion Series

11/18/2013, refreshments served at 2:30p, discussion 3 to 4pm in room K354, at 1737 Cambridge Street, Cambridge, MA 02138.  

Title: Automating the Process for Achieving Acceptable Tolerances in Data De-Identification for Analytics Purposes

Discussants: Michael Logan and Joseph Santangelo, Axis Technology

While Read more about Nov 18: "Automating the Process for Achieving Acceptable Tolerances in Data De-Identification for Analytics Purposes" (Michael Logan and Joseph Santangelo, Axis Technology)

Nov 7-8, 2013: DIMACS Workshop on Statistical Analysis of Network Dynamics and Interactions

DIMACS Workshop on Statistical Analysis of Network Dynamics and Interactions

November 7 - 8, 2013
DIMACS Center, CoRE Building, Rutgers University

Workshop web site (including registration): http://dimacs.rutgers.edu/Workshops/DynamicNetwork/

Organizers:

Nov 5: "Privacy, Stability and High-dimensional Sparse Regression" (Adam Smith, Penn State and Boston University)

Privacy, Stability and High-dimensional Sparse Regression

Theory of Computation Seminar
Adam Smith, Penn State and Boston University
Tuesday, November 5, 2013 - 1:30pm to 2:30pm
Pierce Hall 320

I will discuss recent results on how different notions of stability of learning algorithms can be used to design differentially private algorithms. We focus on designing algorithms for statistical modelselection. Given a data set and a discrete collection of models, each of which is a family of probability distributions, the goal is to Read more about Nov 5: "Privacy, Stability and High-dimensional Sparse Regression" (Adam Smith, Penn State and Boston University)

Nov 4: "Understanding the Risk of Re-identification in Behavioral Science Data" (Raquel Loran Hill, CRCS Visiting Scholar)

Technology in Government (TIG)  and Topics in Privacy (TIP)
11/4/2013 refreshments served at 2:30p, discussion 3 to 4pm in room K354, at 1737 Cambridge Street, Cambridge, MA 02138.  

TitleUnderstanding the Risk of Re-identification in Behavioral Science Data
Discussant: Raquel Loran Hill, Visiting Scholar at the Center for Research on Computation and Society

Abstract:

Read more about Nov 4: "Understanding the Risk of Re-identification in Behavioral Science Data" (Raquel Loran Hill, CRCS Visiting Scholar)