CMU Privacy Day

Friday, January 27, 2017

An event celebrating International Data Privacy Day

About Data Privacy Day

Join us on January 27, 2017 for CMU Privacy Day 2017 at Carnegie Mellon University. CMU is celebrating the International Data Privacy Day by presenting privacy research and practical advice on protecting privacy online. Privacy Day is open to the public, and no registration is required.

Data Privacy Day is an international effort to empower and educate people to protect their privacy and control their digital footprint. For more information, please visit StaySafeOnline.org

Questions? Email t...@cs.cmu.edu.

Schedule of Events

Friday, January 27, 2017

11:00am –1:00pm	Privacy Clinic Learn how to protect your privacy. Outside the Connan Room, Cohon University Center
11:00am –1:00pm	Privacy Research Poster Session Learn more about current privacy research at CMU. Outside the Connan Room, Cohon University Center

All events take place at the Jared L. Cohon University Center on the Carnegie Mellon campus.
Please consult the campus map to find your way around.

Privacy Clinic

Learn how to protect your privacy

Privacy Day will feature a Privacy Clinic. Come to our Privacy Clinic to learn how to protect your privacy. CMU’s information privacy and security students will educate you and answer your questions about privacy risks and remedies concerning many topics, including:

Ad Blocking Today (PDF)
Analyzing Privacy Requirements for Mobile Apps (PDF)
CMU's Information Security Office (ISO): Are you being monitored at Carnegie Mellon? (PDF)
Demo of the Usable Privacy Policy Project's Explore Site (Website)
Encryption for Messenger Apps (PDF)
How to Avoid In-App Tracking and Advertising (PDF)
Online Tracking and Targeted Ads (PDF)
Privacy for IoT Devices (PDF)
Private Browsing (PDF)
The International Association of Privacy Professionals (IAPP) Office
Web Application for Searching and Comparing Financial Companies' Privacy Practices (PDF)

Refreshments will be provided.

Privacy Research Poster Session

Privacy Research at Carnegie Mellon University

Visit the poster session to learn more about privacy research at Carnegie Mellon University and meet privacy researchers and students. Refreshments will be provided.

The following research projects will be presented:

Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition (Presenter: Mahmood Sharif) (PDF)
Analyzing Vocabulary Intersections of Expert Annotations and Topic Models for Data Practices in Privacy Policies (Presenter: Frederick Liu)
Attacks on Digital Image Watermarks: An Experimental Study (Presenter: Yuru Liu) (PDF)
Automated Analysis of Privacy Requirements for Mobile Apps (Presenter: Sebastian Zimmeck) (PDF)
Automatic Identification of Opt-Opt Choices in Privacy Policies (Presenter: Kanthashree Mysore Sathyendra) (PDF)
CrowdVerify: Extract Important Statements from Terms & Conditions(Presenter: Annabel Sun) (PDF)
Giotto: Privacy Systems and Permissions in the Internet of Things (Presenter: Bharadwaj Ramachandran) (PDF)
How Short Is Too Short? Implications of Length and Framing on the Effectiveness of Privacy Notices (Presenter: Joshua Gluck) (PDF)
International Survey of Privacy Concerns Related to Smart Home Monitoring (Presenters: Anuj Shah and Preethi Jospehina) (PDF)
Personalized Privacy Assistant for Mobile Apps (Presenter: Bin Liu) (PDF)
Privacy Concerns About Facial Recognition in Public Spaces (Presenters: Tong Liu and Dhanuja Shaji)
Privacy Firewall (Presenters: Yunfan Wang and Bill Quan)
Privacy Implications of Health Related Information in Android Apps (Presenters: Yuankun Li and Jun Ma) (PDF)
Privacy Risk in Cybersecurity Information Sharing (Presenter: Daniel Smullen) (PDF)
Privacy-aware Video Analytics (Presenter: Anupam Das) (PDF)
PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage (Presenter: Saksham Chitkara)
Protect My Privacy: Detect and Mitigate Privacy Leaks On Mobile Devices (Presenter: Saksham Chitkara)
QII for Recommender Systems (Presenter: Dan Calderon) (PDF)
Robots Can't Read Social Cues - Privacy Perceptions Surrounding Self-Driving Cars (Presenter: Cara Bloom)
Steganography Secure Communication (Presenters: Siddharth Nair and Lidong Wei) (PDF)
The Creation and Analysis of a Website Privacy Policy Corpus (Presenter: Sebastian Zimmeck)
The Personal Privacy Assitant for IoT Project (Presenter: Aerin Zhang) (PDF)
The Usable Privacy Policy Project (Presenter: Sebastian Zimmeck)
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs (Presenter: Gihyuk Ko) (PDF)
Will People Give Out Their Fitness Data for an Apple Watch? (Presenter: Peter Story) (PDF)