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Symbolic Execution for Importance Analysis and Adversarial Generation in Neural Networks.

, , , , , and . ISSRE, page 313-322. IEEE, (2019)

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Learning to Optimize the Alloy Analyzer., , , and . ICST, page 228-239. IEEE, (2019)A Study of Learning Data Structure Invariants Using Off-the-shelf Tools., , , , , and . SPIN, volume 11636 of Lecture Notes in Computer Science, page 226-243. Springer, (2019)Quantifying the Exploration of the Korat Solver for Imperative Constraints., , , , and . ACM SIGSOFT Softw. Eng. Notes, 44 (4): 15 (2019)Distributed Symbolic Execution using Test-Depth Partitioning., and . CoRR, (2021)A Study of Symmetry Breaking Predicates and Model Counting., , , , , and . TACAS (1), volume 12078 of Lecture Notes in Computer Science, page 115-134. Springer, (2020)Integrating Model Checking and Theorem Proving for Relational Reasoning, , , and . (2004)SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions., , , , , , , , and . ICSE, page 1932-1944. ACM, (2022)Extension-Aware Automated Testing Based on Imperative Predicates., , , and . ICST, page 25-36. IEEE, (2019)Fixing Privilege Escalations in Cloud Access Control with MaxSAT and Graph Neural Networks., , , , and . ASE, page 104-115. IEEE, (2023)Learning Guided Enumerative Synthesis for Superoptimization., , and . SPIN, volume 11636 of Lecture Notes in Computer Science, page 172-192. Springer, (2019)