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ORCIDWPES 2009: Chicago, Illinois, USA
- Ehab Al-Shaer, Stefano Paraboschi:
Proceedings of the 2009 ACM Workshop on Privacy in the Electronic Society, WPES 2009, Chicago, Illinois, USA, November 9, 2009. ACM 2009, ISBN 978-1-60558-783-7
Privacy metrics and techniques
- Stephanie Trudeau, Sara Sinclair, Sean W. Smith:
The effects of introspection on creating privacy policy. 1-10 - Keith B. Frikken, Preethi Srinivas:
Key allocation schemes for private social networks. 11-20 - Reza Shokri, Julien Freudiger, Murtuza Jadliwala, Jean-Pierre Hubaux:
A distortion-based metric for location privacy. 21-30 - Jon McLachlan, Nicholas Hopper:
On the risks of serving whenever you surf: vulnerabilities in Tor's blocking resistance design. 31-40
Privacy protocols
- Yao Chen, Radu Sion, Bogdan Carbunar:
XPay: practical anonymous payments for tor routing and other networked services. 41-50 - Erik-Oliver Blass, Anil Kurmus, Refik Molva
, Thorsten Strufe:
PSP: private and secure payment with RFID. 51-60 - Florian Kerschbaum:
A verifiable, centralized, coercion-free reputation system. 61-70
Privacy in new applications
- Andrew Tran, Nicholas Hopper, Yongdae Kim:
Hashing it out in public: common failure modes of DHT-based anonymity schemes. 71-80 - Mark A. Gondree, Payman Mohassel:
Longest common subsequence as private search. 81-90 - David Bauer, Douglas M. Blough, Apurva Mohan:
Redactable signatures on data with dependencies and their application to personal health records. 91-100
Short papers
- Eleni Gessiou, Alexandros Labrinidis, Sotiris Ioannidis:
A Greek (privacy) tragedy: the introduction of social security numbers in Greece. 101-104 - Richard Chow, Philippe Golle:
Faking contextual data for fun, profit, and privacy. 105-108 - Chris Alexander, Joel Reardon, Ian Goldberg:
Plinko: polling with a physical implementation of a noisy channel. 109-112 - Mohammad Jafari, Reihaneh Safavi-Naini, Nicholas Paul Sheppard:
Enforcing purpose of use via workflows. 113-116 - Alice Bednarz, Nigel G. Bean, Matthew Roughan:
Hiccups on the road to privacy-preserving linear programming. 117-120
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