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TensorFlow [1] is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds(More)
Current software attacks often build on exploits that subvert machine-code execution. The enforcement of a basic safety property, Control-Flow Integrity (CFI), can prevent such attacks from arbitrarily controlling program behavior. CFI enforcement is simple, and its guarantees can be established formally even with respect to powerful adversaries. Moreover,(More)
We i n troduce the spi calculus, an extension of the pi calculus designed for the description and analysis of cryptographic protocols. We show h o w to use the spi calculus, particularly for studying authen-tication protocols. The pi calculus without extension suuces for some abstract protocols; the spi calculus enables us to consider cryptographic issues(More)
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. Tensor-Flow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices,(More)
Refinement mappings are used to prove that a lower-level specification correctly implements a higher-level one. The authors consider specifications consisting of a state machine (which may be infinite-state) that specifies safety requirements and an arbitrary supplementary property that specifies liveness requirements. A refinement mapping from a(More)
Current software attacks often build on exploits that subvert machine-code execution. The enforcement of a basic safety property, control-flow integrity (CFI), can prevent such attacks from arbitrarily controlling program behavior. CFI enforcement is simple and its guarantees can be established formally, even with respect to powerful adversaries. Moreover,(More)
Two distinct, rigorous views of cryptography have developed over the years, in two mostly separate communities. One of the views relies on a simple but effective formal approach; the other, on a detailed computational model that considers issues of complexity and probability. There is an uncomfortable and interesting gap between these two approaches to(More)