To enable privacy-preserving computation on encrypted data,
\na class of techniques for input-oblivious execution have surfaced. The
\nproperty of input-oblivious execution guarantees that an adversary observing
\nthe interaction of a program with the underlying system learns
\nnothing about the sensitive input. To highlight the importance of oblivious
\nexecution, we demonstrate a concrete practical attack \u2014 called a
\nlogic-reuse attack \u2014 that leaks every byte of encrypted input if oblivious
\ntechniques are not used. Next, we study the efficacy of oblivious
\nexecution techniques and understand their limitations from a practical
\nperspective. We manually transform 30 common Linux utilities by applying
\nknown oblivious execution techniques. As a positive result, we show
\nthat 6 utilities perform input-oblivious execution without modification,
\n11 utilities can be transformed with O(1) performance overhead and 11
\nother show O(N) overhead. As a negative result, we show that theoretical
\nlimitations of oblivious execution techniques do manifest in 2 real
\napplications in our case studies incurring a performance cost of O(2^N)
\nover non-oblivious execution.<\/p>\n","protected":false},"excerpt":{"rendered":"
To enable privacy-preserving computation on encrypted data, a class of techniques for input-oblivious execution have surfaced. The property of input-oblivious execution guarantees that an adversary observing the interaction of a program with the underlying system learns nothing about the sensitive input. To highlight the importance of oblivious execution, we demonstrate a concrete practical attack \u2014 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