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LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis., , , , , , , , and . CoRR, (2023)PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis., , , , , , , , and . USENIX Security Symposium, page 2365-2382. USENIX Association, (2023)OSPREY: Recovery of Variable and Data Structure via Probabilistic Analysis for Stripped Binary., , , , , , , and . SP, page 813-832. IEEE, (2021)PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model., , , , , , , , , and . ESEC/SIGSOFT FSE, page 401-412. ACM, (2023)Effects of meteorological factors on finger vein recognition., , , and . ISBA, page 1-8. IEEE, (2017)CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking., , , , , , and . CoRR, (2024)FuzzInMem: Fuzzing Programs via In-memory Structures., , , , , and . ICSE, page 131:1-131:13. ACM, (2024)Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis., , , , , , , , , and . ISSTA, page 1106-1118. ACM, (2023)D-ARM: Disassembling ARM Binaries by Lightweight Superset Instruction Interpretation and Graph Modeling., , , , and . SP, page 2391-2408. IEEE, (2023)Parameter adjustment of finger vein recognition algorithms., , , , , , and . ISBA, page 1-8. IEEE, (2017)