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[…] legal and administrative protections that may be applied. FPF’s framework, described in Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identification, was published in the Santa Clara Law Review. Ethics: FPF is calling for new frameworks and standards to pro- mote valuable research and to ensure the ethical use of data for […]

[…] legal and administrative protections that may be applied. FPF’s framework, described in Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identification, was published in the Santa Clara Law Review. Ethics: FPF is calling for new frameworks and standards to pro- mote valuable research and to ensure the ethical use of data for […]

[…] that advance practical de-identification measures. Highlights Include: • FPF’s framework described in Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identification, was published in the Santa Clara Law Review; • FPF created a Visual Guide to Practical Data De-Identification. • FPF held a workshop, Practical De-Identification to discuss what it means for […]

[…] of the spectrum of identifiability, see J. Polonetsky, O. Tene and K. Finch , Shades of Gray: Seeing the full spectrum of practical data de -identification, in Santa Clara Law Review, vol. 56, 2016. 4 asserts that, notwithstanding the first one, the data still needs to be exa mined, together with the context. According […]

[…] a “useful security me asure.” 9 Jules Polonetsky, Omer Tene, & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De – Identification , SANTA CLARA L. REV . (forthcoming 2016). 10 See, e.g. , Khaled El Emam, Elizabeth Jonker, Luk Arbuc kle, & Bradley Malin, A Systematic Review of Re […]

[…] REV . 1701 (2010). 12 See, e.g., Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De -Identification , SANTA CLARA L. REV . (forthcoming, 2016); Daniel Barth -Jon es, The Antidote for “Anecdata”: A Little Science Can Separate Data Privacy Facts from Folklore , Nov. […]

[…] to resolving these disputed issue s? 1 See Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data Deidentification 56 SANTA CLARA L. REV. 593 (2016), Appendix A. 3 In Europe, these questions are more timely and complicated than ever given the recent approval of the General […]

[…] IEEE Security and Privacy 72; Jules Polonetsky, Omer Tene and Kelsey Finch, ‘Shades of Gray: Seeing the Full Spectrum of Practical Data de -Identification’ (2016) In press Santa Clara Law Review 593. 4 Ira Rubinstein and Woodrow Hartzog, Anonymization and Risk , Washington Law Review, Vol. 91, No. 2, 2016 NYU School of Law, […]

[…] Anonymization and Risk, WASH. L. REV. (forthcoming 2016). 9 Jules Polonetsky, Omer Tene & Kelsey Finch, Shades of Gray: Seeing the Full Spectrum of Practical Data De-Identification, SANTA CLARA L. REV. (forthcoming 2016). 10 The Open Data Institute, “What is Open Data,” http://theodi.org/what-is-open-data. FUTURE OF PRIVACY FORUM / 1400 EYE STREET, NW / SUITE […]

[…] by Protocols Nos. 11 and 14 , 4 November 1950, ETS 5, s. 8. 30McKay Cunningham, “Diminishing Sovereignty: How European Privacy Law Became International Norm” (2013) 11 Santa Clara Int’l L 421, 443. 6 to a reasonable expectation of privacy, especially from state intrusion, 31and have recognized privacy as a “fundamental value that lies […]