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» On privacy preservation against adversarial data mining
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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 9 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
SP
2008
IEEE
14 years 2 months ago
Robust De-anonymization of Large Sparse Datasets
We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
Arvind Narayanan, Vitaly Shmatikov
ACSW
2007
13 years 9 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker
PET
2010
Springer
13 years 11 months ago
On the Privacy of Web Search Based on Query Obfuscation: A Case Study of TrackMeNot
Web Search is one of the most rapidly growing applications on the internet today. However, the current practice followed by most search engines – of logging and analyzing usersâ€...
Sai Teja Peddinti, Nitesh Saxena
ICDCS
2008
IEEE
14 years 2 months ago
A Sophisticated Privacy-Enhanced Yet Accountable Security Framework for Metropolitan Wireless Mesh Networks
— Recently, multi-hop wireless mesh networks (WMNs) have attracted increasing attention and deployment as a low-cost approach to provide broadband Internet access at metropolitan...
Kui Ren, Wenjing Lou