Private approximation of search problems

Many approximation algorithms have been presented in the last decades for hard search problems. The focus of this paper is on cryptographic applications, where it is desired to design algorithms which do not leak unnecessary information. Specifically, we are interested in private approximation algorithms ? efficient algorithms whose output does not leak information not implied by the optimal solutions to the search problems. Privacy requirements add constraints on the approximation algorithms; in particular, known approximation algorithms usually leak a lot of information. For functions, [Feigenbaum et al., ICALP 2001] presented a natural requirement that a private algorithm should not leak information not implied by the original function. Generalizing this requirement to search problems is not straightforward as an input may have many different outputs. We present a new definition that captures a minimal privacy requirement from such algorithms ? applied to an input instance, it shou...

• Type: Conference
• Year: 2006
• Where: STOC
• Authors: Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
• Keywords: Algorithms, Approximation Algorithms, Private Approximation Algorithms, Search Problems, STOC 2006