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Phoenix: Detect and Locate Resilience Issues in Blockchain via Context-Sensitive Chaos., , , , , , , и . CCS, стр. 1182-1196. ACM, (2023)Tyr: Finding Consensus Failure Bugs in Blockchain System with Behaviour Divergent Model., , , , , и . SP, стр. 2517-2532. IEEE, (2023)Engineering a Better Fuzzer with Synergically Integrated Optimizations., , , , , , , и . ISSRE, стр. 82-92. IEEE, (2019)EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers., , , , , , , и . USENIX Security Symposium, стр. 1967-1983. USENIX Association, (2019)When Fuzzing Meets LLMs: Challenges and Opportunities., , , , , , , , , и 1 other автор(ы). SIGSOFT FSE Companion, стр. 492-496. ACM, (2024)LOKI: State-Aware Fuzzing Framework for the Implementation of Blockchain Consensus Protocols., , , , , , , и . NDSS, The Internet Society, (2023)Design and Implementation of Visual Modeling Tool for Evidence Chain., , , , , , и . WISA, стр. 168-171. IEEE, (2017)Fuzz testing in practice: Obstacles and solutions., , , , и . SANER, стр. 562-566. IEEE Computer Society, (2018)FASTBLOCK: Accelerating Blockchains via Hardware Transactional Memory., , , , , , и . ICDCS, стр. 250-260. IEEE, (2021)Stop Pulling my Rug: Exposing Rug Pull Risks in Crypto Token to Investors., , , , , и . ICSE-SEIP, стр. 228-239. ACM, (2024)