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» When Random Sampling Preserves Privacy
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ICDE
2008
IEEE
130views Database» more  ICDE 2008»
14 years 8 months ago
A Sampling-Based Approach to Information Recovery
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
ESORICS
2002
Springer
14 years 7 months ago
Hamming Weight Attacks on Cryptographic Hardware - Breaking Masking Defense
It is believed that masking is an effective countermeasure against power analysis attacks: before a certain operation involving a key is performed in a cryptographic chip, the inpu...
Marcin Gomulkiewicz, Miroslaw Kutylowski
PET
2010
Springer
13 years 11 months ago
How Unique Is Your Web Browser?
We investigate the degree to which modern web browsers are subject to “device fingerprinting” via the version and configuration information that they will transmit to website...
Peter Eckersley
FOCS
2009
IEEE
14 years 2 months ago
Extracting Correlations
Abstract— Motivated by applications in cryptography, we consider a generalization of randomness extraction and the related notion of privacy amplification to the case of two cor...
Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky, A...
ICDE
2008
IEEE
219views Database» more  ICDE 2008»
14 years 8 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni