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Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning., , , , , and . CCS, page 1212-1226. ACM, (2023)Zef: Low-latency, Scalable, Private Payments., , , and . WPES@CCS, page 1-16. ACM, (2023)Order-Fairness for Byzantine Consensus., , , and . CRYPTO (3), volume 12172 of Lecture Notes in Computer Science, page 451-480. Springer, (2020)Flexible Signatures: Making Authentication Suitable for Real-Time Environments., , and . ESORICS (1), volume 11735 of Lecture Notes in Computer Science, page 173-193. Springer, (2019)Zef: Low-latency, Scalable, Private Payments., , , and . IACR Cryptol. ePrint Arch., (2022)Themis: Fast, Strong Order-Fairness in Byzantine Consensus., , , , and . CCS, page 475-489. ACM, (2023)Buying Time: Latency Racing vs. Bidding for Transaction Ordering., , , and . AFT, volume 282 of LIPIcs, page 23:1-23:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Truncator: Time-space Tradeoff of Cryptographic Primitives., , , and . IACR Cryptol. ePrint Arch., (2022)Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts., , , and . IACR Cryptol. ePrint Arch., (2021)MPC-Friendly Symmetric Cryptography from Alternating Moduli: Candidates, Protocols, and Applications., , , , , , and . CRYPTO (4), volume 12828 of Lecture Notes in Computer Science, page 517-547. Springer, (2021)