Srivatsava Ranjit Ganta

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Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary information (also called external knowledge, background knowledge, or side information) that an adversary gleans from other channels such as the web, public records, or domain knowledge.(More)
Economies of scale, corporate partnerships and a need to increase the efficiency of Information Technology in the Healthcare sector are leading to the construction of Regional Health Information Organizations (RHIOs) across the United States. RHIOs are normally aligned by service provision given by particular healthcare payers (e.g. Blue Cross-Blue Shield,(More)
Data privacy is one of the key challenges faced by enterprises today. Anonymization techniques address this problem by sanitizing sensitive data such that individual privacy is preserved while allowing enterprises to maintain and share sensitive data. However, existing work on this problem make inherent assumptions about the data that are impractical in(More)
Privacy preservation is currently one of the key challenges in enterprise data management. <i>Data Anonymization</i> techniques address this by <i>sanitizing</i> and releasing <i>anonymized</i> data such that enterprises can share and disseminate sensitive information without compromising consumer privacy. However, current anonymization techniques are prone(More)
Semi-structured data has gained a lot of prominence in the recent past, especially after the realization of the inadequacy of HTML for information representation on the WEB. Semi-structured data is characterized by lack of rigid structure (schema) and evolving structure. XML has been adopted as a practical model for representing semi-structured data and(More)
Biomedical Informatics deals with the study and analysis of disease related data to aid drug discovery and help find better treatment procedures. The data includes heterogeneous information such as patient records, clinical observations and experimental genomic data. These data sets are distributed among various hospitals, diagnosis and research centers(More)
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