We wish to increase the power of an arbitrary algorithm designed for non-degenerate input, by allowing it to execute on all inputs. We concentrate on in nitesimal symbolic perturba...
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
We show how model checking and symbolic execution can be used to generate test inputs to achieve structural coverage of code that manipulates complex data structures. We focus on ...
Willem Visser, Corina S. Pasareanu, Sarfraz Khursh...
Structural constraint solving allows finding object graphs that satisfy given constraints, thereby enabling software reliability tasks, such as systematic testing and error recove...
We present formal proof rules for inductive reasoning about the way that data transmitted on the network remains secret from a malicious attacker. Extending a compositional protoco...
Arnab Roy, Anupam Datta, Ante Derek, John C. Mitch...