We study the problem of computing securely in the presence of leakage on the computation's internals. Our main result is a general compiler that compiles any algorithm P, viewed as a boolean circuit, into a functionally equivalent algorithm P′. The compiled P′ can then be run repeatedly on adversarially chosen inputs in the presence of leakage on its internals: In each execution of P′, an AC 0 adversary can (adaptively) choose any leakage function that can be computed in AC 0 and has bounded output length, apply it to the values on P′'s internal wires in that execution, and view its output. We show that no such leakage adversary can learn more than P's input-output behavior. In particular, the internals of P are protected. Security does not rely on any secure hardware, and is proved under a computational intractability assumption regarding the hardness of computing inner products for AC 0 circuits with pre-processing. This new assumption has connections to long-standing open problems in complexity theory. © 2012 International Association for Cryptologic Research.
CITATION STYLE
Rothblum, G. N. (2012). How to compute under AC 0 leakage without secure hardware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7417 LNCS, pp. 552–569). https://doi.org/10.1007/978-3-642-32009-5_32
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