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Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps.

, , , , , and . IPAW, volume 12839 of Lecture Notes in Computer Science, page 88-105. Springer, (2021)

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Cross-Domain Evaluation of a Deep Learning-Based Type Inference System., , , and . MSR, page 158-169. IEEE, (2023)Cross-Domain Evaluation of a Deep Learning-Based Type Inference System., , , and . CoRR, (2022)Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps., , , , , and . IPAW, volume 12839 of Lecture Notes in Computer Science, page 88-105. Springer, (2021)Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption., and . WF-IoT, page 572-577. IEEE, (2019)Deep security analysis of program code., , and . Empir. Softw. Eng., 27 (1): 2 (2022)ROMEO: Exploring Juliet through the Lens of Assembly Language., , and . CoRR, (2021)Machine-learning supported vulnerability detection in source code.. ESEC/SIGSOFT FSE, page 1180-1183. ACM, (2019)Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode., , and . Softwaretechnik-Trends, 40 (2): 39-40 (2020)TIPICAL - Type Inference for Python In Critical Accuracy Level., , , and . SERA, page 16-21. IEEE, (2023)ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language., , and . Comput. Secur., (May 2023)