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Towards Automated Generation of Bug Benchmark for Smart Contracts.

, , , , and . ICST Workshops, page 184-187. IEEE, (2019)

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Towards Automated Generation of Bug Benchmark for Smart Contracts., , , , and . ICST Workshops, page 184-187. IEEE, (2019)Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures., , , , , and . J. Syst. Softw., (2022)Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics., , , , and . Internetware, page 1. ACM, (2023)Theoretical analysis of deep neural networks for temporally dependent observations., and . NeurIPS, (2022)A Software Analysis Based Vulnerability Detection System For Smart Contracts., , , and . Integrating Research and Practice in Software Engineering, volume 851 of Studies in Computational Intelligence, Springer, (2020)Detecting Replay Attacks in Power Systems: A Data-Driven Approach., , , , , and . LSMS/ICSEE (3), volume 763 of Communications in Computer and Information Science, page 450-457. Springer, (2017)Virtualized Application Networking Infrastructure., , , , , , , and . TRIDENTCOM, volume 46 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 363-382. Springer, (2010)Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go?, , , , , , , , , and 2 other author(s). ACM Trans. Softw. Eng. Methodol., 32 (4): 102:1-102:55 (July 2023)Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts., , , , , and . ASE, page 1029-1040. IEEE, (2020)Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts., , , , and . ICSE (Companion Volume), page 274-275. ACM, (2020)