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What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning

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  • Debin: Predicting Debug Information in Stripped Binaries
  • Transformers从头训练模型
  • CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
  • 周记
  • 二进制相似度综述（报告）
  • Binary Similarity Summarize
  • DEEPBINDIFF: Learning Program-Wide Code Representations for Binary Diffing
  • CATI: Context-Assisted Type Inference from Stripped Binaries
  • Similarity of Binaries through re-Optimization
  • Statistical Similarity of Binaries
  • BinGo: Cross-Architecture Cross-OS Binary Search
  • B2SFinder: Detecting Open-Source Software Reuse in COTS Software
  • 基于后缀树的二进制可执行代码的克隆检测算法
  • Clone-Hunter: Accelerated Bound Checks Elimination via Binary Code Clone Detection
  • Clone-Slicer: Detecting Domain Specific Binary Code Clones through Program Slicing
  • Blended, Precise Semantic Program Embeddings
  • A Lightweight Cross-Version Binary Code Similarity Detection Based on Similarity and Correlation Coefficient Features
  • Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study
  • What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning
  • CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
  • Scaffle: Bug Localization on Millions of Files
  • CVSSA: Cross-Architecture Vulnerability Search in Firmware Based on Support Vector Machine and Attributed Control Flow Graph
  • Functional Code Clone Detection with Syntax and Semantics Fusion Learning
  • Patch Based Vulnerability Matching for Binary Programs
  • Binary Code Clone Detection across Architectures and Compiling Configurations
  • Semantics-Aware Machine Learning for Function Recognition in Binary Code
  • 二进制机器学习总结
  • Neural Nets Can Learn Function Type Signatures From Binaries
  • Instruction2vec: Efficient Preprocessor of Assembly Code to Detect Software Weakness with CNN†
  • Graph Embedding based Familial Analysis of Android Malware using Unsupervised Learning
  • A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis
  • BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
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