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KDD
2009
ACM
296views Data Mining» more  KDD 2009»
16 years 7 months ago
Anonymizing healthcare data: a case study on the blood transfusion service
: Gaining access to high-quality health data is a vital requirement to informed decision making for medical practitioners and pharmaceutical researchers. Driven by mutual benefits ...
Noman Mohammed, Benjamin C. M. Fung, Patrick C. K....
179
Voted
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
16 years 7 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 7 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
IEEEARES
2009
IEEE
16 years 1 months ago
Defeating Dynamic Data Kernel Rootkit Attacks via VMM-Based Guest-Transparent Monitoring
—Targeting the operating system kernel, the core of trust in a system, kernel rootkits are able to compromise the entire system, placing it under malicious control, while eluding...
Junghwan Rhee, Ryan Riley, Dongyan Xu, Xuxian Jian...
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
16 years 1 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...