Pretty Good Privacy

2.1 Some Examples

From playlist Social Media - What No One has Told You about Privacy by Dr. Anne Kayem

Facebook: Understanding Privacy

In this video, you’ll learn more about how Facebook privacy works. Visit https://www.gcflearnfree.org/facebook101/understanding-facebook-privacy/1/ for our text-based lesson. This video includes information on: • Understanding basic privacy settings • Sharing and privacy • Facebook privac

From playlist Internet Safety

Privacy Matters

http://privacymatters.nl/

From playlist awareness

Internet Safety

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist The Internet

2.5 Automated Privacy Policies

From playlist Social Media - What No One has Told You about Privacy by Dr. Anne Kayem

Does it really matter what browser I choose?

You have a choice of browsers to select from. What makes a browser more - or less - secure? Learn some ways to assess a browser's security.

From playlist Internet Safety

DsiN Film Campaign for Secure Internet Use: Data Privacy

The film Data Privacy shows how important it is to protect yourself against prying eyes just like in real life. Source: Deutschland Sicher Im Netze (http://bit.ly/cRQoOo)

From playlist awareness

Facebook: Adjusting Your Privacy Settings

In this video, you’ll learn more about adjusting your privacy settings in Facebook. Visit https://www.gcflearnfree.org/facebook101/adjusting-your-privacy-settings/1/ for our text-based lesson. This video includes information on: • Using Facebook's privacy settings • Blocking unwanted comm

From playlist Facebook

1.4 Privacy Policies

From playlist Social Media - What No One has Told You about Privacy by Dr. Anne Kayem

Privacy vs Security Intricacies - Robert Hansen (keynote)

- Managed by the official OWASP Media Project https://www.owasp.org/index.php/OWASP_Media_Project

From playlist AppSec California 2014

Fast and Memory Efficient Differentially Private-SGD via JL Projections

A Google TechTalk, presented by Sivakanth Gopi, 2021/05/21 ABSTRACT: Differential Privacy for ML Series. Differentially Private-SGD (DP-SGD) of Abadi et al. (2016) and its variations are the only known algorithms for private training of large scale neural networks. This algorithm requires

From playlist Differential Privacy for ML

CoinPress: Practical Private Mean and Covariance Estimation

A Google TechTalk, presented by Guatam Kamal, 2021/03/05 ABSTRACT: Differential Privacy for ML Series. We introduce a simple framework for differentially private estimation. As a case study, we will focus on mean estimation for sub-Gaussian data. In this setting, our algorithm is highly e

From playlist Differential Privacy for ML

Guy Rothblum : Privacy and Security via Randomized Methods - 3

Recording during the thematic meeting: «Nexus of Information and Computation Theories » theJanuary 27, 2016 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent

From playlist Nexus Trimester - 2016 -Tutorial Week at CIRM

Stanford Seminar - Emerging risks and opportunities from large language models, Tatsu Hashimoto

Tatsu Hashimoto, Professor of Computer Science at Stanford University April 20, 2022 Large, pre-trained language models have driven dramatic improvements in performance for a range of challenging NLP benchmarks. However, these language models also present serious risks such as eroding use

From playlist Stanford CS521 - AI Safety Seminar

Casey Greene: "Deep learning: privacy preserving data sharing along with some hints and tips"

Computational Genomics Winter Institute 2018 "Deep learning: privacy preserving data sharing along with some hints and tips" Casey Greene, University of Pennsylvania Perelman School of Medicine Institute for Pure and Applied Mathematics, UCLA March 2, 2018 For more information: http://c

From playlist Computational Genomics Winter Institute 2018

Books In Browsers 2011: Nicole Ozer, Digital books: A New Chapter for Reader Privacy"

Books In Browsers 2011: Nicole Ozer, "Digital books: A New Chapter for Reader Privacy"

From playlist Books in Browsers 2011

Trusted CI Webinar: Trends in Global Privacy: GDPR One Year Later with Scott Russell

Originally recorded Oct. 28, 2019 Slides: http://hdl.handle.net/2142/105493 The past few years have seen a resurgence of privacy laws around the globe, starting with the European Union’s General Data Protection Regulation (GDPR), but leading to proposed laws in South Korea, Brazil, and t

From playlist Center for Applied Cybersecurity Research (CACR)

Statistically Valid Inferences from Privacy Protected Data

A Google TechTalk, presented by Gary King, 2020/09/18 Paper Title: "Statistically Valid Inferences from Privacy Protected Data" Abstract: Unprecedented quantities of data that could help social scientists understand and ameliorate the challenges of human society are presently locked away

From playlist Differential Privacy for ML

Can Stereotypes Keep You Safe?

Check us out on iTunes! http://dne.ws/1NixUds Please Subscribe! http://testu.be/1FjtHn5 An advantage of a stereotype is that it can enable us to respond much quicker to a situation because we may have had a similar experience in the past that has prepared us to be hyper aware. + +

From playlist Stereotypes: The Good, The Bad, & The Truthful

Kuang Xu: How to make (and keep) genetic data private

An expert in genetic privacy says there’s a fine line between one’s right to know and another’s right to not know. One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insigh

From playlist The Future of Everything