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Learning to Reconstruct: Statistical Learning Theory and Encrypted Database Attacks
Statistical Learning Theory Encrypted Database Attacks
2019/1/9
We show that the problem of reconstructing encrypted databases from access pattern leakage is closely related to statistical learning theory. This new viewpoint enables us to develop broader attacks t...
Encrypted databases, a popular approach to protecting data from compromised database management systems (DBMS’s), use abstract threat models that capture neither realistic databases, nor realistic att...
In recent years, encrypted databases have emerged as a promising direction that provides data confidentiality without sacrificing functionality: queries are executed on encrypted data. However, existi...