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Information flow inference for ML

by: Francois Pottier, Vincent Simonet
In Symposium on Principles of Programming Languages (2002), pp. 319-330  Key: citeulike:965570

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Abstract

This paper presents a type-based information ow analysis for a call-by-value -calculus equipped with references, exceptions and let-polymorphism, which we refer to as Core ML. The type system is constraint-based and has decidable type inference. Its non-interference proof is reasonably light-weight, thanks to the use of a number of orthogonal techniques. First, a syntactic segregation between values and expressions allows a lighter formulation of the type system. Second, non-interference is...


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