ANOSY: approximated knowledge synthesis with refinement types for declassification

@article{Guria2022ANOSYAK,
  title={ANOSY: approximated knowledge synthesis with refinement types for declassification},
  author={Sankha Narayan Guria and Niki Vazou and Marco Guarnieri and James Parker},
  journal={Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation},
  year={2022}
}
Non-interference is a popular way to enforce confidentiality of sensitive data. However, declassification of sensitive information is often needed in realistic applications but breaks non-interference. We present ANOSY, an approximate knowledge synthesizer for quantitative declassification policies. ANOSY uses refinement types to automatically construct machine checked over- and under-approximations of attacker knowledge for boolean queries on multi-integer secrets. It also provides an AnosyT… 

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