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» On Randomness Measures for Social Networks.
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MASS
2010
157views Communications» more  MASS 2010»
14 years 7 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
SENSYS
2003
ACM
15 years 2 months ago
SIA: secure information aggregation in sensor networks
Sensor networks promise viable solutions to many monitoring problems. However, the practical deployment of sensor networks faces many challenges imposed by real-world demands. Sen...
Bartosz Przydatek, Dawn Xiaodong Song, Adrian Perr...
IMC
2009
ACM
15 years 4 months ago
When private keys are public: results from the 2008 Debian OpenSSL vulnerability
We report on the aftermath of the discovery of a severe vulnerability in the Debian Linux version of OpenSSL. Systems affected by the bug generated predictable random numbers, mo...
Scott Yilek, Eric Rescorla, Hovav Shacham, Brandon...
CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
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WINE
2007
Springer
124views Economy» more  WINE 2007»
15 years 3 months ago
On the Price of Truthfulness in Path Auctions
We study the frugality ratio of truthful mechanisms in path auctions, which measures the extent to which truthful mechanisms “overpay” compared to non-truthful mechanisms. In p...
Qiqi Yan