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A collection of papers, tools about type inferring, variable renaming, function name inferring on stripped binary executables.

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Awesome-Info-Inferring-Binary

A collection of papers, tools about type inferring, variable renaming, function name inferring on stripped binary executables.

Papers

Paper Venue Year Slide Video Source Code Dataset
llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs TOSEM 2025 S V llasm D
ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries CCS 2024 S V ReSym D
TYGR: Type Inference on Stripped Binaries using Graph Neural Networks Usenix Sec 2024 S V TYGR D
Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-task Learning Proceedings of the ACM on Software EngineeringVolume 1, Issue FSE 2024 S V Epitome D
Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation Usenix Sec 2024 S V SAILR D
"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning S&P 2024 S V VarBERT D
FunProbe: Probing Functions from Binary Code through Probabilistic Analysis ESEC/FSE 2023 S V FunProbe D
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering ICSE 2023 S V CFG2VEC D
A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing AsiaCCS 2023 S V AsmDepictor D
SymLM: Predicting Function Names in Stripped Binaries via Context-Sensitive Execution-Aware Code Embeddings CCS 2022 S V SymLM SymLM
DnD: A Cross-Architecture Deep Neural Network Decompiler Usenix Sec 2022 S V DnD D
DIRECT : A Transformer-based Model for Decompiled Variable Name Recovery nlp4prog 2021 S V DIRECT-nlp4prog D
XFL: Naming Functions in Binaries with Extreme Multi-label Learning S&P(Arxiv) 2023(2021) S V XFL D
Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling Arxiv 2021 S V G D
DIRTY: Augmenting Decompiler Output with Learned Variable Names and Types Usenix Sec 2022 S V DIRTY | Demo D
A Lightweight Framework for Function Name Reassignment Based on Large-Scale Stripped Binaries ISSTA 2021 S V NFRE D
StateFormer: Fine-Grained Type Recovery from Binaries using Generative State Modeling ESEC/FSE 2021 S V StateFormer D
OSPREY: Recovery of Variable and Data Structure via Probabilistic Analysis for Stripped Binary S&P (Oakland) 2021 S V OSPREY D
Devil Is Virtual: Reversing Virtual Inheritance in C++ Binaries CCS 2020 S V G D
Neural reverse engineering of stripped binaries using augmented control flow graphs OOPLSA 2020 S V Nero D
CATI: Context-Assisted Type Inference from Stripped Binaries DSN 2020 S V G D
Typilus: Neural Type Hints PLDI 2020 S V Typilus D
In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks Arxiv 2019 S V in_nomine_function D
DIRE: A Neural Approach to Decompiled Identifier Naming ASE 2019 S V Dire D
Type Learning for Binaries and its Applications IEEETR 2019 S V BITY D
DeClassifier: Class-Inheritance Inference Engine for Optimized C++ Binaries AsiaCCS 2019 S V DeClassifier D
DEBIN:Predicting Debug Information in Stripped Binaries CCS 2018 S V DEBIN | debin.ai D
Meaningful variable names for decompiled code: a machine translation approach ICPC 2018 S V G D
Neural Nets Can Learn Function Type Signatures From Binaries Usenix Sec 2017 S V EKLAVYA binary.tar.gz, pickles.tar.gz, clean_pickles.tar.gz
DSIbin: Identifying Dynamic Data Structures in C/C++ Binaries ASE 2017 S V DSIbin D
A Tough call: Mitigating Advanced Code-Reuse Attacks At The Binary Level S&P (Oakland) 2016 S V TypeArmor D
Type Inference on Executables ACMCS 2016 S V G D
Scalable variable and data type detection in a binary rewriter PLDI 2013 S V G D
TIE: Principled reverse engineering of types in binary programs NDSS 2011 S V G D
Automatic Reverse Engineering of Data Structures from Binary Execution NDSS 2010 S V G D

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