Name
Affiliation
Papers
CLARK BARRETT
New York University
108
Collaborators
Citations 
PageRank 
201
1268
108.65
Referers 
Referees 
References 
2084
1316
982
Search Limit
1001000
Title
Citations
PageRank
Year
Polite Combination of Algebraic Datatypes00.342022
Automating System Configuration00.342021
Politeness And Stable Infiniteness: Stronger Together00.342021
SAT Solving in the Serverless Cloud00.342021
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition00.342021
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays.00.342021
Towards Satisfiability Modulo Parametric Bit-vectors00.342021
Politeness for the Theory of Algebraic Datatypes (Extended Abstract).00.342021
On Solving Quantified Bit-Vector Constraints Using Invertibility Conditions00.342021
Algorithms for Verifying Deep Neural Networks20.382021
An SMT-Based Approach for Verifying Binarized Neural Networks.00.342021
A Theoretical Framework for Symbolic Quick Error Detection00.342020
Smt-Switch: a solver-agnostic C++ API for SMT Solving00.342020
A-QED Verification of Hardware Accelerators10.362020
Creating An Agile Hardware Design Flow00.342020
Agile SMT-Based Mapping for CGRAs with Restricted Routing Networks00.342019
Selected Extended Papers of NFM 2017: Preface.00.342019
Unlocking the Power of Formal Hardware Verification with CoSA and Symbolic QED - Invited Paper.00.342019
Symbolic Qed Pre-Silicon Verification For Automotive Microcontroller Cores: Industrial Case Study00.342019
Syntax-Guided Rewrite Rule Enumeration for SMT Solvers.00.342019
Invertibility Conditions For Floating-Point Formulas10.362019
DRAT-based Bit-Vector Proofs in CVC4.00.342019
Towards Bit-Width-Independent Proofs in SMT Solvers.10.362019
Refutation-based synthesis in SMT40.472019
Verifying Deep-RL-Driven Systems.30.402019
Cvc4sy: Smart And Fast Term Enumeration For Syntax-Guided Synthesis30.392019
Extending SMT Solvers to Higher-Order Logic.10.352019
The Marabou Framework For Verification And Analysis Of Deep Neural Networks130.582019
Algorithms for Verifying Deep Neural Networks.40.382019
Processor Hardware Security Vulnerabilities And Their Detection By Unique Program Execution Checking10.352019
High-Level Abstractions For Simplifying Extended String Constraints In Smt10.362019
G2SAT: Learning to Generate SAT Formulas00.342019
p4pktgen: Automated Test Case Generation for P4 Programs110.742018
DeepSafe: A Data-Driven Approach for Assessing Robustness of Neural Networks.20.372018
EMME: a formal tool for ECMAScript Memory Model Evaluation.00.342018
CVC4 at the SMT Competition 2018.00.342018
CoSA: Integrated Verification for Agile Hardware Design10.352018
Symbolic quick error detection using symbolic initial state for pre-silicon verification20.402018
Reasoning with Finite Sets and Cardinality Constraints in SMT.00.342018
Solving Quantified Bit-Vectors Using Invertibility Conditions10.362018
Toward Scalable Verification for Safety-Critical Deep Networks.40.412018
Datatypes with Shared Selectors.10.352018
Constraint Solving for Finite Model Finding in SMT Solvers.00.342017
Towards Proving The Adversarial Robustness Of Deep Neural Networks60.532017
Partitioned Memory Models For Program Analysis40.432017
Logic Bug Detection and Localization Using Symbolic Quick Error Detection.00.342017
Reluplex: An Efficient Smt Solver For Verifying Deep Neural Networks1534.152017
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks.110.572017
Ground-Truth Adversarial Examples.00.342017
Designing Theory Solvers with Extensions.40.412017
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