home › event - using the web to discover inference, bias, and "private" data

EVENT:

Using the web to discover Inference, bias, and "private" data
Conferences & Talks

University of California, irvine, Computer Science Department Distinguished Lecturer Series

23 October 2009
11:00am - 12:00pm
Irvine, California, USA

 

description

Text content can allow unintended inferences. Consider, for example, the numerous people who have published anonymous blogs for venting about their employer only to be identified through seemingly non-identifying posts. Similarly, the US government's "Operation Iraqi Freedom Portal" was assembled as evidence of nuclear weapons presence in Iraq, but removed because it could be used to infer much of the weapon making process. We propose a simple, semi-automated approach to detecting text-based inferences prior to the release of content. Our approach uses association rule mining of the Web to identify keywords that may allow a sensitive topic to be inferred. While the main motivation of this work is data loss prevention we will also discuss how these techniques can be adapted to detect bias in product reviews and to assess the privacy of proprietary data.

Note: Most of this talk is joint work with Richard Chow and Philippe Golle.

 

 

upcoming events   view all 

Human-Centered Designed Robots are All Around Us
Leila Takayama
29 September 2016
PARC Forum  

Stanford and PARC host Digital Cities Summit 2016
Victoria Bellotti, Panel Facilitator, Bernard Casse, Panelist, Sean Garner, Panelist, Stephen Hoover, Keynote Speaker, Matthew Klenk, Tolga Kurtoglu, Panel Facilitator, Markus Larsson, Speaker, Ersin Uzun, Panelist
3 October 2016 - 4 October 2016 | Stanford, CA
Conferences & Talks  

2016 Annual Conference of the Prognostics and Health Management Society
Parham Shahidi, Panelist, Rui Maranhão, Keynote Speaker
5 October 2016 - 6 October 2016 | Denver, CO
Conferences & Talks