Noninterference offers a rigorous end-to-end guarantee for secure propagation
of information. However, real-world systems almost always involve security
requirements that change during program execution, making noninterference
inapplicable. Prior works alleviate the limitation to some extent, but even for
a veteran in information flow security, understanding the subtleties in the
syntax and semantics of each policy is challenging, largely due to very
different policy specification languages, and more fundamentally, semantic
requirements of each policy.

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We take a top-down approach and present a novel information flow policy,
called Dynamic Release, which allows information flow restrictions to downgrade
and upgrade in arbitrary ways. Dynamic Release is formalized on a novel
framework that, for the first time, allows us to compare and contrast various
dynamic policies in the literature. We show that Dynamic Release generalizes
declassification, erasure, delegation and revocation. Moreover, it is the only
dynamic policy that is both applicable and correct on a benchmark of tests with
dynamic policy.

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