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Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the… Expand Reluctance to provide personal health information could impede the success of web-based healthcare services. This paper focuses… Expand The collection of digital information by governments, corporations, and individuals has created tremendous opportunities for… Expand Operators of online social networks are increasingly sharing potentially sensitive information about users and their… Expand We present a new class of statistical de- anonymization attacks against high-dimensional micro-data, such as individual… Expand We continue a line of research initiated in [10, 11] on privacy-preserving statistical databases. Consider a trusted server that… Expand Publishing data about individuals without revealing sensitive information about them is an important problem. In recent years, a… Expand Publishing data about individuals without revealing sensitive information about them is an important problem. In recent years, a… Expand The ability of attackers to rapidly gain control of vast numbers of Internet hosts poses an immense risk to the overall security… Expand Encryption is a well—known technique for preserving the privacy of sensitive information. One of the basic, apparently inherent… Expand