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Metadata

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

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
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

Tools

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Metadata

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

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