Resources: PETs

These resources were shared during the video lesson.

Go deep with data privacy

Google’s 4,000-Word Privacy Policy Is a Secret History of the Internet

• An examination of how Google’s privacy policy has evolved over the years, including after the introduction of GDPR

Understanding Privacy

• First chapter of Daniel J. Solove’s book A Taxonomy of Privacy.

A Taxonomy of Privacy

• Open Rights Group provide an overview of Daniel J. Solove’s taxonomy

Privacy Wiki

• Extensive Wiki based on Solove’s Taxonomy of Privacy. Includes real-world example of each element in the taxonomy, as well as relevant laws and regulations

Privacy breaches shared in the video

Silicon Valley Is Listening to Your Most Intimate Moments

• How the world's biggest companies got millions of people to let temps analyze some very sensitive recordings

10 Years After Snowden: Some Things Are Better, Some We’re Still Fighting For

• EFF article assessing progress a decade after Edward Snowden exposed how security agencies were capturing and surveilling internet traffic

Surveillance, Snowden, and Big Data: Capacities, consequences, critique

• Exploration of surveillance techniques exposed by Snowden, including information about the Co-Traveller programme

Rides of Glory

• Controversial blog post written by Uber in 2014, and now deleted (but forever preserved on the WaybackMachine)

Have I Been Pwned

• A free resource for anyone to quickly assess if they may have been put at risk due to an online account of theirs having been compromised or "pwned" in a data breach

The Amazon Panopticon

• UNI Global Union’s report exploring the ways in which Amazon uses technology to surveil its own workers

Robust De-anonymization of Large Datasets (How to Break Anonymity of the Netflix Prize Dataset)

• Demonstration of how people can be re-identified in a seemingly anonymous dataset

Estimating the success of re-identifications in incomplete datasets using generative models

• Another example of researchers proving that anonymous datasets can be re-identified. In this case, they discovered that 99.98% of Americans would be correctly re-identified in any dataset using 15 demographic attributes.

Callisto

• Callisto is a tool that aims to empower survivors of sexual violence, by helping students report campus sexual assaults online

Differential Privacy Press Kit

• Press kit explaining how the US Census Bureau is modernizing privacy protections to defend against new threats using differential privacy (a Privacy Enhancing Technology)

Protecting Privacy with MATH (Collab with the Census)

• Fantastic explanation of the Census project in this Minutephysics video

Understanding the 2020 Census Disclosure Avoidance System

• Presentation of an internal project by the Cenuse Bureau, simulating a re-identification attack on the 2010 Census

The 2020 Census Suggests That People Live Underwater. There’s a Reason

• New York Times article reporting some controversies with the US Census

Google’s Community Mobility Reports

• Aggregated insights based on Google Maps data, designed to help public health officials see what was changing in responsive to different policies. This initiative used Differential Privacy to prevent reindentification

Statistics Canada: Trialling the use of synthetic data

• Synthetic data used for a hackathon involving health data

Password Monitor: Safeguarding passwords in Microsoft Edge

• Microsoft’s password monitor makes use of homomorphic encryption

Helping organizations do more without collecting more data

• Google blogpost exploring practical uses of Private set intersection and homomorphic encryption