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TDSC
2011
14 years 4 months ago
CASTLE: Continuously Anonymizing Data Streams
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...
Jianneng Cao, Barbara Carminati, Elena Ferrari, Ki...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 6 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
CIKM
2008
Springer
14 years 11 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
181
Voted
ICDE
2008
IEEE
219views Database» more  ICDE 2008»
15 years 11 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
82
Voted
ACSAC
2009
IEEE
15 years 4 months ago
Protecting Commodity Operating System Kernels from Vulnerable Device Drivers
Device drivers on commodity operating systems execute with kernel privilege and have unfettered access to kernel data structures. Several recent attacks demonstrate that such poor...
Shakeel Butt, Vinod Ganapathy, Michael M. Swift, C...