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Neural reverse engineering of stripped binaries using augmented control flow graphs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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DIRE: A Neural Approach to Decompiled Identifier Naming
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Proceedings of the 22nd international conference on Machine learning - ICML '05
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Similarity of binaries through re-optimization
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inferredcites →https://doi.org/10.1184/r1/6469466openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1805.08490openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1811.01824openalex-snapshot
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DIRE: A Neural Approach to Decompiled Identifier Naming
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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From Opcodes to Semantics: A Hybrid Approach for Function Name Inference in Stripped Binaries
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inferred← citeshttps://doi.org/10.1109/tse.2021.3093926openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2021.3106572openalex-snapshot
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XCode : Towards Cross-Language Code Representation with Large-Scale Pre-Training
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Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries
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inferred← citeshttps://doi.org/10.1145/3579856.3582823openalex-snapshot
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inferred← citeshttps://doi.org/10.7287/peerj-cs.1286v0.2/reviews/1openalex-snapshot
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inferred← citeshttps://doi.org/10.7287/peerj-cs.1286v0.3/reviews/1openalex-snapshot
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inferred← citeshttps://doi.org/10.7717/peerj-cs.1286openalex-snapshot
BinBench: a benchmark for x64 portable operating system interface binary function representations
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