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» Approximation and Randomization for Quantitative Information...
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CSFW
2010
IEEE
13 years 8 months ago
Approximation and Randomization for Quantitative Information-Flow Analysis
—Quantitative information-flow analysis (QIF) is an emerging technique for establishing information-theoretic confidentiality properties. Automation of QIF is an important step...
Boris Köpf, Andrey Rybalchenko
FOSSACS
2009
Springer
13 years 11 months ago
On the Foundations of Quantitative Information Flow
There is growing interest in quantitative theories of information flow in a variety of contexts, such as secure information flow, anonymity protocols, and side-channel analysis. ...
Geoffrey Smith
DFT
2007
IEEE
142views VLSI» more  DFT 2007»
13 years 11 months ago
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
Growth of pixel density and sensor array size increases the likelihood of developing in-field pixel defects. An ongoing study on defect development in imagers has now provided us ...
Jenny Leung, Jozsef Dudas, Glenn H. Chapman, Israe...
IROS
2006
IEEE
202views Robotics» more  IROS 2006»
13 years 10 months ago
Topological characterization of mobile robot behavior
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
Aurélien Hazan, Frédéric Dave...
POPL
2012
ACM
12 years 7 days ago
Probabilistic relational reasoning for differential privacy
Differential privacy is a notion of confidentiality that protects the privacy of individuals while allowing useful computations on their private data. Deriving differential priva...
Gilles Barthe, Boris Köpf, Federico Olmedo, S...