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cvc5: A versatile and industrial-strength SMT solver
Abstract cvc5 is the latest SMT solver in the cooperating validity checker series and builds
on the successful code base of CVC4. This paper serves as a comprehensive system …
on the successful code base of CVC4. This paper serves as a comprehensive system …
Reluplex: An efficient SMT solver for verifying deep neural networks
Deep neural networks have emerged as a widely used and effective means for tackling
complex, real-world problems. However, a major obstacle in applying them to safety-critical …
complex, real-world problems. However, a major obstacle in applying them to safety-critical …
A unified view of piecewise linear neural network verification
Abstract The success of Deep Learning and its potential use in many safety-critical
applications has motivated research on formal verification of Neural Network (NN) models …
applications has motivated research on formal verification of Neural Network (NN) models …
Branch and bound for piecewise linear neural network verification
The success of Deep Learning and its potential use in many safety-critical applications has
motivated research on formal verification of Neural Network (NN) models. In this context …
motivated research on formal verification of Neural Network (NN) models. In this context …
Satisfiability modulo theories
Abstract Satisfiability Modulo Theories (SMT) refers to the problem of determining whether a
first-order formula is satisfiable with respect to some logical theory. Solvers based on SMT …
first-order formula is satisfiable with respect to some logical theory. Solvers based on SMT …
cvc4
CVC4 is the latest version of the Cooperating Validity Checker. A joint project of NYU and U
Iowa, CVC4 aims to support the useful feature set of CVC3 and SMT-LIBv2 while optimizing …
Iowa, CVC4 aims to support the useful feature set of CVC3 and SMT-LIBv2 while optimizing …
Efficient solving of large non-linear arithmetic constraint systems with complex boolean structure
In order to facilitate automated reasoning about large Boolean combinations of non-linear
arithmetic constraints involving transcendental functions, we provide a tight integration of …
arithmetic constraints involving transcendental functions, we provide a tight integration of …
Lazy satisfiability modulo theories
R Sebastiani - Journal on Satisfiability, Boolean Modelling …, 2007 - journals.sagepub.com
Satisfiability Modulo Theories (SMT) is the problem of deciding the satisfiability of a first-
order formula with respect to some decidable first-order theory T (SMT (T)). These problems …
order formula with respect to some decidable first-order theory T (SMT (T)). These problems …
Reluplex: a calculus for reasoning about deep neural networks
Deep neural networks have emerged as a widely used and effective means for tackling
complex, real-world problems. However, a major obstacle in applying them to safety-critical …
complex, real-world problems. However, a major obstacle in applying them to safety-critical …
The MathSAT 4 SMT Solver: Tool Paper
We present MathSAT 4, a state-of-the-art SMT solver. MathSAT 4 handles several useful
theories:(combinations of) equality and uninterpreted functions, difference logic, linear …
theories:(combinations of) equality and uninterpreted functions, difference logic, linear …