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[…] retrieved by physically inserting a compatible device into the port. This port enables access to information that can help service technicians measure emissions, diagnose performance issues, or repair your vehicle. Owners may also choose to plug in a third-party device (or “dongle”) into the OBD-II port in some vehicles to collect or share information […]

[…] retrieved by physically inserting a compatible device into the port. This port enables access to information that can help service technicians measure emissions, diagnose performance issues, or repair your vehicle. Owners may also choose to plug in a third-party device (or “dongle”) into the OBD-II port in some vehicles to collect or share information […]

[…] Privacy: Responding to the Sur prising Failure of Anonymization , 57 UCLA L. 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 […]

[…] privacy -era -rapid -change -recommendations/120326privacyreport.pdf. 10 For a detailed review of issues around de -identification as well as a practical roadmap, please see our recent academic paper Shades of Gray: Seeing the Full Spe ctrum of Practical Data De – identification , in which Jules Polonetsky and Omer Tene describe data on a spectrum […]

[…] guarantees that eliminate ris k entirely? Are scientific experts themselves any closer 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 […]

[…] University Law Review 1814. 3 Khaled El Emam, ‘Heuristics for De -Identifying Health Data’ 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 […]

PII, Cookies, and De-Identification – Accounting for Shades of Grey Broadcast Date: June 22, 2016 Time: 1:00 – 2:30 pm ET IAPP members: $159 Nonmembers: $179 Are tracking cookies personally identifiable information (PII)? What about IP addresses, MAC addresses, or mobile advertising identifiers — are they personal data, or can they be described as […]

PII, Cookies, and De-Identification – Accounting for Shades of Grey Broadcast Date: June 22, 2016 Time: 1:00 – 2:30 pm ET IAPP members: $159 Nonmembers: $179 Are tracking cookies personally identifiable information (PII)? What about IP addresses, MAC addresses, or mobile advertising identifiers — are they personal data, or can they be described as […]

[…] agencies will be able to use real -time traffic data and aggregated driver informati on to optimize traffic flows and even target roads most in need of repair. Convenience. Connectivity can also power a range of consumer applications to make driving more convenient and more fun. Other remote monitoring services let drivers know if […]

[…] De-identification Still Doesn’t Work, http://randomwalker.info/publications/no-silver-bullet-de-identification.pdf. 8 Ira Rubinstein & Woodrow Hartzog, 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. […]