Showing results for honolulu 20window shades repair amp amp honolulu 20window

FPF-AISP_Nothing to Hide
[…] (2010), https://lsr.nellco.org/ cgi/viewcontent.cgi?referer=&httpsredir=1&article=1534&context=nyu_plltwp; Paul Ohm, Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization, 57 UCLA L Rev 1701 (2010), https://www.uclalawreview.org/pdf/57-6-3.pdf; Jules Polonetsky et al., Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identification, 56 Santa Clara L Rev 593 (2016), https://digitalcommons.law.scu.edu/cgi/ viewcontent.cgi?article=2827&context=lawreview . 30 Kelsey Finch, A Visual Guide […]

FPF_PPPM_2018Digest_FINAL_signlepages
[…] safety update functionality in the automotive industry, and barriers to its development. It explores challenges posed by the interaction between OTA update functionality, consumer protections — including repair rights and privacy — and competition. It then proposes a set of principles to guide the regulatory approach to OTA updates and automobile cybersecurity in light […]

FPF_PPPM_2018Digest_FINAL
[…] safety update functionality in the automotive industry, and barriers to its development. It explores challenges posed by the interaction between OTA update functionality, consumer protections — including repair rights and privacy — and competition. It then proposes a set of principles to guide the regulatory approach to OTA updates and automobile cybersecurity in light […]

If You Can't Take the Heat Map: Benefits & Risks of Releasing Location Datasets
[…] it for potential risks (no easy task). These kinds of challenges are by no means new. As FPF’s Jules Polonetsky, Omer Tene, and Kelsey Finch described in Shades of Grey: Seeing the Full Spectrum of Practical Data De-Identification, some of the most (in)famous examples of “re-identification” arose from the public release of AOL search […]

Model Benefit-Risk Analysis
[…] 17. 7 See Ira Rubinstein & Woodrow Hartzog, Anonymization and Risk, 91 WASH. L REV. 703 (2016), http://digital.law.washington.edu/dspace – law/bitstream/handle/1773.1/1589/91WLR0703.pdf?sequence=1&isAllowed=y; Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De -Identification, 56 SANTA CLARA L. REV. 594 (2016). 8 See Khaled El Emam, Comment Letter on […]

FPF Open Data Risk Assessment for City of Seattle
[…] Article 29 Data Protection Working Party on Anonymi sation Techniques (2014 ), available at http://ec.europa.eu/justice/data -protection/article -29/documentation/opinion – recommendation/files/2014/wp216_en.pdf . Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De -Identification , 56 SANTA CLARA L. REV. 594 (2016) , available at http://digitalcommons.law.scu.edu/cgi/viewcontent.cgi?article=2827&context=lawreview . 29 PRESIDENT […]

Wood, Altman, Baleato, Vadhan_Comments on FPF Seattle Open Data Draft Report
[…] de Hert eds ., 2016). Opinion of the Article 29 Data Protection Working Party on Anonymisation Techniques , 2014 . Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identificiton , 56 SANTA CLARA L. REV. 594 (2016). 20 PRESIDENT ’S COUNCIL OF ADVISORS ON SCIENCE […]

Privacy Papers 2017
[…] safety update functionality in the automotive industry, and barriers to its development. It explores challenges posed by the interaction between OTA update functionality, consumer protections — including repair rights and privacy — and competition. It proposes a set of principles to guide the regulatory approach to OTA updates, and automobile cybersecurity, in light of […]

NAI Combines Web, Mobile, and Cross-Device Tracking Rules for 2018
[…] the data to its uses. As debates over de-identification continue (see, e.g., arguments from Princeton researchers Arvind Narayanan and Edward Felten, and/or for more information, FPF’s “ Shades of Gray: Seeing the Full Spectrum of Practical Data De-identification”), it will be interesting to see whether and how a use-based analysis of de-identified data affects […]

Future-of-Privacy-Forum-2016-990-Public-Inspection-Copy_FinalA
[…] X, line 21, for escrow or custodial account liability, serve as a custodian for amounts not listed in Part X; or provide credit counseling, debt management, credit repair, or debt negotiation services? Did the organization, directly or through a related organization, hold assets in temporarily restricted endowments, permanent endowments, or quasi-endowments? ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~ If […]