Whitebox fuzzing is a novel form of security testing based on dynamic symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found many ne...
The ability of modern SAT solvers to produce proofs of unsatisfiability for Boolean formulas has become a powerful tool for EDA applications. Proofs are generated from a resolve t...
In the paper we present two techniques improving the recognition accuracy of multilayer perceptron neural networks (MLP ANN) by means of adopting Speaker Adaptive Training. The us...
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
Simultaneous MultiThreading (SMT) achieves better system resource utilization and higher performance because it exploits ThreadLevel Parallelism (TLP) in addition to “conventiona...