computational thinking, carnegie mellon
Sponsored by
microsoft research
  Please note: as of February 2013, this site is no longer being actively maintained or updated.  
    MindSwap - October 19th and 20th > Photos                        

Organized by: Lorrie Cranor, CMU, Cynthia Dwork, MSR, Kunal Talwar, MSR, and Ryan Williams, CMU


All sessions will be held in Newell-Simon Hall Room 3305
unless  otherwise noted

Friday, October 19
9-10 am Breakfast
10-10:30 am Opening session: Panel: Definitions of Privacy

Lorrie Faith Cranor, CMU, Philosophical definitions of privacy (ppt)
Scott Forbes, Microsoft LCA, Legal definitions of privacy
Cynthia Dwork, Microsoft Research, Technical definitions of privacy


Cynthia Dwork, Microsoft Research
Differential Privacy (ppt)

10:50-11:10 Frank McSherry, Microsoft Research
The Exponential Mechanism (pdf)
11:10-11:30 Sofya Raskhodnikova, Penn State University
Smooth Sensitivity and Sampling (pdf)
11:30-11:50 Denny Lee, Microsoft SQL Server Customer Advisory Team
Differential Privacy: A User Case-Study (ppt)
11:50-12:10 Sergey Yekhanin, Institute for Advanced Study and Kunal Talwar, Microsoft Research
Lower Bounds on Noise (ppt)
12:10-1:00 pm Lunch
1:00-1:20 pm Ilya Mironov, Microsoft Research
Data Collection with Self-Enforcing Privacy
1:20-1:40 pm Adam Smith, Penn State University
What Can We Learn Privately? (pdf)
1:40-2:00 pm Kobbi Nissim, Ben-Gurion University
How should we solve search problems privately? (ppt)
2:00-2:30 pm Scott Forbes, Microsoft LCA
Privacy Challenges in Products and Services
2:30 - 2:55 pm Adrian  Perrig, CMU
Privacy and Sensor Networks
2:55 - 3:20 pm

Anupam Datta, CMU
Privacy and Contextual Integrity: Framework and Applications (ppt)

3:20 - 3:45 pm Break
3:45 - 4:10 pm

Norman Sadeh, CMU
User controllable privacy and security (ppt)

4:10 - 4:35 pm Jason Hong, CMU
Privacy and Ubiquitous Computing (ppt)
4:35 - 5:00 pm Lorrie Faith Cranor, CMU
Making Privacy Visible (ppt)
5:00 - 6:00 pm

Poster session and reception. NSH Atrium

Jeremiah Blocki A Complete Classification of the Computational Complexity of K-Anonymity
Dhruva Mohindra Drafting Location Based Schedules From Online Social Networks (And other statistics)
Rob Reeder, Patrick Kelley, Aleecia McDonald, Lorrie Faith Cranor Visualizing Website Privacy Policies with an Expandable Grid
Patrick Kelley, Norman Sadeh User-Controllable Privacy in a People Finder Application
Lorrie Faith Cranor, Aleecia M. McDonald, Serge Egelman, and Steve Sheng 2006 Privacy Trends
Aleecia M. McDonald Toward Privacy Policies That Work
Karen Tang, Jason Hong Privacy Mechanisms for Mobile Social Software
Shrikant Pandhare Privacy in RFID
Ponnurangam K (PK) Privact in India
Serge Egelman, Steve Sheng, Aleecia M. McDonald, and Lorrie Faith Cranor Errors in P3P Policies
Janice Tsai, Serge Egelman, Lorrie Faith Cranor, Alessandro Acquisti Empowering Consumers to Make Privacy-Informed Purchases
Andreas Krause, Eric Horvitz Trading off Utility and Privacy in Online Services
Katrina Ligett, Aaron Roth, Avrim Blum A Machine Learning
perspective on Differential Privacy
Jeffrey Pang Towards a Privacy-Preserving MAC
Datong Chen, Jie Yang Privacy protection and activity recognition in privacy-protected video
6:00 - 7:00 pm Dinner
Saturday, October 20
9-10 am Breakfast
10:00 - 11:00 am

Microsoft Business Panel

Scott Forbes, Microsoft LCA
Denny Lee, SQL Server Customer Advisory Team | Best Practices, Microsoft
Michal Stokes, Principal Program Manager, Health Solutions Group, Microsoft Corporation

11:00 am - 12:00 pm

Discussion and Wrap-Up: Discussion of privacy research themes, open questions, potential for collaboration, and what's next.

Lorrie Faith Cranor, CMU, Cynthia Dwork, MSR, Kunal Talwar, MSR, Ryan Williams, CMU, Peter Lee, CMU,

12:00 pm-1:00 pm Lunch