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[…] unnamed company notified the Hungarian DPA (NAIH) that during the period of his incapacity for work due to sickness, his desk and computer equipment were used and someone had accessed his email account and physical documents. The N AIH noted that the employer bears the responsibility of setting up an internal policy t hat […]

[…] a long history of being portrayed as a potential privacy threat to an unknowing public. When Google Glass was announced in 2013, users imagined a future where someone’s 18 FUTURE OF PRIVACY FORUM | APRIL 2021 PART III Government Surveillance and XR A possible future in which XR technologies are widely deployed in public […]

The Student Privacy Pledge is a public and legally enforceable statement by edtech companies to safeguard student privacy, built around a dozen privacy commitments regarding the collection, maintenance, use, and sharing of student personal information. Since it was introduced in 2014 by the Future of Privacy Forum (FPF) and the Software and Information Industry Association, […]

[…] 50133-01 3 732004 11-28-17 Yes No 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 a b 20a 20b 21 22 23 24a 24b 24c 24d 25a 25b 26 27 28a 28b 28c 29 30 31 32 33 34 35a 35b 36 37 38 […]

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[…] 2017). 8 inadvertently. Even when a dataset has been scrubbed of names and other potentially identifying traits and rendered “de -identified, ” there is a chance that someone (referre d to in professional literature as an “adversary”) might be able to deduce that some of the data relates to a specific individual. This can […]

[…] 2017). 7 published inadvertently. Even when a dataset has been scrubbed of names and other potentially identifying traits and rendered “de -identified,” there is a chance that someone (refe rred to in professional literature as an “adversary”) – whether an expert skilled in re -identifying individuals from seemingly “anonymous” information, or a commercial information […]

[…] 50133-01 3 632004 11-11-16 Yes No 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 a b 20a 20b 21 22 23 24a 24b 24c 24d 25a 25b 26 27 28a 28b 28c 29 30 31 32 33 34 35a 35b 36 37 38 […]

[…] 50133-11 3 632004 11-11-16 Yes No 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 a b 20a 20b 21 22 23 24a 24b 24c 24d 25a 25b 26 27 28a 28b 28c 29 30 31 32 33 34 35a 35b 36 37 38 […]

[…] pub lished inadvertently. Even when a dataset has been scrubbed of names and other potentially identifying traits and rendered “de -identified, ” there is a chance that someone (referred to in professional literature as an “adversary”) – whether an expert skilled in re -identifying individuals from seemingly “anonymous” information, or a commercial information reseller […]