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Synthesizing Formal Network Specifications From Input-Output Examples.

, , , , , and . IEEE/ACM Trans. Netw., 31 (3): 994-1009 (June 2023)

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Code2Inv: A Deep Learning Framework for Program Verification., , , , and . CAV (2), volume 12225 of Lecture Notes in Computer Science, page 151-164. Springer, (2020)Effective Program Debloating via Reinforcement Learning., , , and . ACM Conference on Computer and Communications Security, page 380-394. ACM, (2018)Effective interactive resolution of static analysis alarms., , , and . Proc. ACM Program. Lang., 1 (OOPSLA): 57:1-57:30 (2017)Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities., , , , , and . CoRR, (2023)Learning Neurosymbolic Generative Models via Program synthesis., , and . DeepRLStructPred@ICLR, OpenReview.net, (2019)Constraint-Based Synthesis of Datalog Programs., , , and . CP, volume 10416 of Lecture Notes in Computer Science, page 689-706. Springer, (2017)PolyDroid: Learning-Driven Specialization of Mobile Applications., , , and . CoRR, (2019)LASER: Neuro-Symbolic Learning of Semantic Video Representations., , , , and . CoRR, (2023)APISan: Sanitizing API Usages through Semantic Cross-Checking., , , , , and . USENIX Security Symposium, page 363-378. USENIX Association, (2016)Accelerating program analyses by cross-program training., , , and . OOPSLA, page 359-377. ACM, (2016)