Search for: "Paul T Sweeney" Results 41 - 60 of 81
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5 Sep 2012, 11:57 pm by Daniel Barth-Jones
This famous re-identification attack was popularized by recently appointed FTC Senior Privacy Adviser, Paul Ohm, in his 2010 paper “Broken Promises of Privacy”. [read post]
3 Oct 2008, 4:29 am
"Sweeney noted the minority dissent "essentially agreed" with the argument he had made. [read post]
11 Aug 2022, 12:26 am by Florian Mueller
On Twitter, Epic CEO Tim Sweeney recently mentioned that Epic can't even update Fortnite for the Mac anymore, though Mac app distribution was not an issue in that antitrust case. [read post]
1 Feb 2015, 9:32 am by Bill Marler
Brands #25 Yancey Strickler, Founder & CEO, Kickstarter #24 Paul Polman, CEO, Univeler #23 Bob Tuschman, General Manager and Senior Vice President, Food Network #22 Rodney McMullen, Chairman and CEO, The Kroger Co. #21 Irene Rosenfeld, CEO, Mondelez International #20 Patricia Woertz, Chairman, President, and CEO, Archer Daniels Midland #19 Donnie Smith, President and CEO, Tyson Foods #18 Steve Easterbrook, CEO, McDonalds #17 Pamela Bailey, President and CEO, Grocery Manufacturers… [read post]
11 Apr 2013, 6:12 am by Gritsforbreakfast
As detailed by Paul Ohm, she later proved just a birthdate, zip code and gender is enough to identify 87 percent of the population, and knowing where someone is makes them even easier to ID. [read post]
8 Nov 2006, 6:31 am
Bradley NH-02 Paul Hodes v. [read post]
21 May 2015, 11:10 pm by Tessa Shepperson
Helping tenants to check flats This afternoon I attended a presentation by Paul and David Munday of the newly forged ‘Flatchecker’ service a fledgling company aimed at helping prospective tenants check out the veracity of prospective landlords to ensure that they aren’t renting from Sweeney Todd or a merciless Ian Duncan-Smith. [read post]
Latanya Sweeney, who is the Daniel Paul Professor of the Practice of Government and Technology at the Harvard Kennedy School, analyzed 1990 census data and demonstrated that 87% of the population could be identified by a combination of zip code, date of birth, and gender. [read post]