Cover Image

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Xiangzhe, Zhang, Zhuo, Su, Zian, Huang, Ziyang, Feng, Shiwei, Ye, Yapeng, Jiang, Nan, Xie, Danning, Cheng, Siyuan, Tan, Lin, Zhang, Xiangyu
Format:	Preprint
Published:	2023
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
by: Su, Zian, et al.
Published: (2024)

Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
by: Su, Zian, et al.
Published: (2024)

Position: Intelligent Coding Systems Should Write Programs with Justifications
by: Xu, Xiangzhe, et al.
Published: (2025)

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
by: Feng, Shiwei, et al.
Published: (2024)

TAI3: Testing Agent Integrity in Interpreting User Intent
by: Feng, Shiwei, et al.
Published: (2025)

ProSec: Fortifying Code LLMs with Proactive Security Alignment
by: Xu, Xiangzhe, et al.
Published: (2024)

Large Language Models for Validating Network Protocol Parsers
by: Zheng, Mingwei, et al.
Published: (2025)

How Effective are Large Language Models in Generating Software Specifications?
by: Xie, Danning, et al.
Published: (2023)

LLMDFA: Analyzing Dataflow in Code with Large Language Models
by: Wang, Chengpeng, et al.
Published: (2024)

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
by: Guo, Jinyao, et al.
Published: (2025)

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
by: Xu, Xiangzhe, et al.
Published: (2025)

Cross-modal Retrieval Models for Stripped Binary Analysis
by: Chen, Guoqiang, et al.
Published: (2025)

Extracting Protocol Format as State Machine via Controlled Static Loop Analysis
by: Shi, Qingkai, et al.
Published: (2023)

Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)

Validating Network Protocol Parsers with Traceable RFC Document Interpretation
by: Zheng, Mingwei, et al.
Published: (2025)

Beyond C/C++: Probabilistic and LLM Methods for Next-Generation Software Reverse Engineering
by: Zhuo, Zhuo, et al.
Published: (2025)

Can LLMs Recover Program Semantics? A Systematic Evaluation with Symbolic Execution
by: Feng, Rong, et al.
Published: (2025)

CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)
by: Won, Jun Yeon, et al.
Published: (2026)

DocTer: Documentation Guided Fuzzing for Testing Deep Learning API Functions
by: Xie, Danning, et al.
Published: (2021)

Recommending Variable Names for Extract Local Variable Refactorings
by: Wang, Taiming, et al.
Published: (2025)

RFCAudit: An LLM Agent for Functional Bug Detection in Network Protocols
by: Zheng, Mingwei, et al.
Published: (2025)

SpecOps: A Fully Automated AI Agent Testing Framework in Real-World GUI Environments
by: Ahmed, Syed Yusuf, et al.
Published: (2026)

NESA: Relational Neuro-Symbolic Static Program Analysis
by: Wang, Chengpeng, et al.
Published: (2024)

Adaptive Proof Refinement with LLM-Guided Strategy Selection
by: Lu, Minghai, et al.
Published: (2025)

Neural Variable Name Repair: Learning to Rename Identifiers for Readability
by: Yousuf, Muhammad, et al.
Published: (2025)

BugScope: Learn to Find Bugs Like Human
by: Guo, Jinyao, et al.
Published: (2025)

Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning
by: Zhang, Xiaoling, et al.
Published: (2024)

KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis
by: Liu, Zhijie, et al.
Published: (2025)

Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
by: Tan, Hanzhuo, et al.
Published: (2025)

Neuro-Symbolic Generation and Validation of Memory-Aware Formal Function Specifications
by: Zhang, Liao, et al.
Published: (2026)

Static Code Analyzer Recommendation via Preference Mining
by: Ge, Xiuting, et al.
Published: (2024)

AOCI: Symbolic-Semantic Indexing for Practical Repository-Scale Code Understanding with LLMs
by: Liu, Jinshi, et al.
Published: (2026)

LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging
by: Pei, Yunrui, et al.
Published: (2025)

From Poisoned to Aware: Fostering Backdoor Self-Awareness in LLMs
by: Shen, Guangyu, et al.
Published: (2025)

An Empirical Study of False Negatives and Positives of Static Code Analyzers From the Perspective of Historical Issues
by: Cui, Han, et al.
Published: (2024)

Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models
by: Yang, Guang, et al.
Published: (2023)

Context-Aware Functional Test Generation via Business Logic Extraction and Adaptation
by: Zhang, Yakun, et al.
Published: (2026)

BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching
by: Jiang, Ling, et al.
Published: (2024)