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StateFormer: fine-grained type recovery from binaries using generative state modeling.

, , , , , , , , , and . ESEC/SIGSOFT FSE, page 690-702. ACM, (2021)

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DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars., , , and . CoRR, (2017)Bringing Engineering Rigor to Deep Learning., , , , , , , , and . ACM SIGOPS Oper. Syst. Rev., 53 (1): 59-67 (2019)XDA: Accurate, Robust Disassembly with Transfer Learning., , , , and . CoRR, (2020)NEUZZ: Efficient Fuzzing with Neural Program Smoothing., , , , , and . IEEE Symposium on Security and Privacy, page 803-817. IEEE, (2019)SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, , , , , , and . CoRR, (2023)Private search on key-value stores with hierarchical indexes., , , , , and . ICDE, page 628-639. IEEE Computer Society, (2014)StateFormer: fine-grained type recovery from binaries using generative state modeling., , , , , , , , , and . ESEC/SIGSOFT FSE, page 690-702. ACM, (2021)Efficient Formal Safety Analysis of Neural Networks., , , , and . NeurIPS, page 6369-6379. (2018)DeepTest: automated testing of deep-neural-network-driven autonomous cars., , , and . ICSE, page 303-314. ACM, (2018)HVLearn: Automated Black-Box Analysis of Hostname Verification in SSL/TLS Implementations., , , , and . IEEE Symposium on Security and Privacy, page 521-538. IEEE Computer Society, (2017)