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In many problems such as biometrics, multimedia search, retrieval, recommendation systems requiring privacypreserving similarity computations and identification, some binary features are stored in the public domain or outsourced to third parties that might raise certain privacy concerns about the original data. To avoid this privacy leak, privacy amplification is used. In the most cases, the privacy amplification is uniformly applied to all binary features resulting in the data degradation anddoi:10.1109/wifs.2010.5711461 dblp:conf/wifs/VoloshynovskiyK10 fatcat:fadjvnc6abg7vgocpqbljxrsga