'Privacy invasive technologies pits' presentation slideshows

Privacy invasive technologies pits - PowerPoint PPT Presentation


CT218 Lecture 6 14 th March

CT218 Lecture 6 14 th March

CT218 Lecture 6 14 th March. Privacy Issues. What is privacy?. It is common t o distinguish four kinds of privacy: physical privacy mental privacy decisional privacy informational privacy Definitions…. Infringements of Information Privacy. Concern for activities of

By adonai
(262 views)

CT218   Lecture 6  14 th  March

CT218 Lecture 6 14 th March

CT218 Lecture 6 14 th March. Privacy Issues. What is privacy?. It is common t o distinguish four kinds of privacy: physical privacy mental privacy decisional privacy informational privacy Definitions…. Infringements of Information Privacy. Concern for activities of

By jodiburton
(1 views)


View Privacy invasive technologies pits PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Privacy invasive technologies pits PowerPoint presentations. You can view or download Privacy invasive technologies pits presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.

Related Searches for Privacy invasive technologies pits
Privacy Protecting Technologies

Privacy Protecting Technologies

Privacy Protecting Technologies. Technology: Value Neutral?. Does technology, on average, help or hinder personal privacy?. The Big Idea. We can use technology to improve privacy. Web Browsing. Ad-Subtract Bugnosis. Ad Subtract. “Search Sanity”. Advantages: Multiplatform Easy to debug

By cain (122 views)

Privacy Enhancing Technologies

Privacy Enhancing Technologies

Privacy Enhancing Technologies. Spring 2012. What is Privacy?. “The right to be let alone” Confidentiality Anonymity Access Control Most privacy technologies focus on Anonymity. What is anonymity?. Unobservability Unlinkability Sender anonymity Receiver anonymity.

By chidi (206 views)

Privacy Protecting Technologies

Privacy Protecting Technologies

Privacy Protecting Technologies. Technology: Value Neutral?. Does technology, on average, help or hinder personal privacy?. The Big Idea. We can use technology to improve privacy. Web Browsing. Ad-Subtract Bugnosis. Ad Subtract. “Search Sanity”. Advantages: Multiplatform Easy to debug

By christopherortiz (0 views)

Privacy Enhancing Technologies

Privacy Enhancing Technologies

Privacy Enhancing Technologies. Lecture 5 Trusted Computing. Elaine Shi. Roadmap. Background on Trusted Computing Whole-system, load-time attestation Fine-grained, run-time attestation or verifiable program execution. Trusted Computing & TPM. Trusted Computing Group.

By riona (168 views)

Online Privacy Technologies

Online Privacy Technologies

Online Privacy Technologies. NTIA Online Privacy Technologies Workshop. Dr. Lorrie Faith Cranor AT&T Labs-Research http://www.research.att.com/~lorrie/. Why is Cathy concerned?. Cathy. March 1, 2000. How did Irving find this out?. He snooped her email

By evita (98 views)

Privacy Technologies ( H09L2A )

Privacy Technologies ( H09L2A )

Privacy Technologies ( H09L2A ). Claudia Diaz ESAT / COSIC. Privacy as protection from surveillance. UPSTREAM Internet-scale traffic analysis (optic fiber) PRISM

By louie (112 views)

Privacy Enhancing Technologies

Privacy Enhancing Technologies

Privacy Enhancing Technologies. Lecture 1 Landscape. Elaine Shi. Privacy Definitions and Landscape, Attacks against Privacy. What Is Privacy?. Non-Privacy. Non-Privacy. Collecting information unbeknownst to users

By eytan (157 views)

Privacy Enhancing Technologies

Privacy Enhancing Technologies

Privacy Enhancing Technologies. Lecture 3 Differential Privacy. Elaine Shi. Some slides adapted from Adam Smith ’ s lecture and other talk slides. Roadmap. Defining Differential Privacy Techniques for Achieving DP Output perturbation Input perturbation

By milton (177 views)

Privacy Enhancing Technologies

Privacy Enhancing Technologies

Privacy Enhancing Technologies. Lecture 2 Attack. Elaine Shi. slides partially borrowed from Narayanan, Golle and Partridge . The uniqueness of high-dimensional data. In this class: How many male : How many 1st year : How many work in PL : How many satisfy all of the above : .

By faunus (146 views)