UniASM: Binary Code Similarity Detection without Fine-tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Yeming, Shu, Hui, Kang, Fei, Hu, Fan |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024)
by: Ahmad, Iftakhar, et al.
Published: (2024)
Cross-Inlining Binary Function Similarity Detection
by: Jia, Ang, et al.
Published: (2024)
by: Jia, Ang, et al.
Published: (2024)
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
by: Wang, Weizhou, et al.
Published: (2024)
by: Wang, Weizhou, et al.
Published: (2024)
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024)
by: Yang, Aidan Z. H., et al.
Published: (2024)
Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
by: Tan, Zixuan, et al.
Published: (2024)
by: Tan, Zixuan, et al.
Published: (2024)
Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection
by: Wang, Zhaohui Geoffrey
Published: (2026)
by: Wang, Zhaohui Geoffrey
Published: (2026)
Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study
by: Loose, Nils, et al.
Published: (2026)
by: Loose, Nils, et al.
Published: (2026)
On Training a Neural Network to Explain Binaries
by: Interrante-Grant, Alexander, et al.
Published: (2024)
by: Interrante-Grant, Alexander, et al.
Published: (2024)
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)
EditLord: Learning Code Transformation Rules for Code Editing
by: Li, Weichen, et al.
Published: (2025)
by: Li, Weichen, et al.
Published: (2025)
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage
by: Liu, Chang, et al.
Published: (2026)
by: Liu, Chang, et al.
Published: (2026)
Fast, Fine-Grained Equivalence Checking for Neural Decompilers
by: Dramko, Luke, et al.
Published: (2025)
by: Dramko, Luke, et al.
Published: (2025)
Repairing vulnerabilities without invisible hands. A differentiated replication study on LLMs
by: Camporese, Maria, et al.
Published: (2025)
by: Camporese, Maria, et al.
Published: (2025)
KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis
by: Liu, Zhijie, et al.
Published: (2025)
by: Liu, Zhijie, et al.
Published: (2025)
ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph
by: Wang, Yufeng, et al.
Published: (2025)
by: Wang, Yufeng, et al.
Published: (2025)
Rethinking the Evaluation of Secure Code Generation
by: Dai, Shih-Chieh, et al.
Published: (2025)
by: Dai, Shih-Chieh, 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)
by: Won, Jun Yeon, et al.
Published: (2026)
RESCUE: Retrieval Augmented Secure Code Generation
by: Shi, Jiahao, et al.
Published: (2025)
by: Shi, Jiahao, et al.
Published: (2025)
On Trojan Signatures in Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024)
by: Hussain, Aftab, et al.
Published: (2024)
Identifier-Free Code Embedding Models for Scalable Search
by: Wolos, Eric, et al.
Published: (2026)
by: Wolos, Eric, et al.
Published: (2026)
LLM-based Vulnerability Discovery through the Lens of Code Metrics
by: Weissberg, Felix, et al.
Published: (2025)
by: Weissberg, Felix, et al.
Published: (2025)
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
by: Kharma, Mohammed, et al.
Published: (2025)
by: Kharma, Mohammed, et al.
Published: (2025)
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
by: Štorek, Adam, et al.
Published: (2025)
by: Štorek, Adam, et al.
Published: (2025)
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)
by: Hu, Minghao, et al.
Published: (2025)
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)
by: Nguyen, Anh The, et al.
Published: (2024)
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
by: Zou, Muqi, et al.
Published: (2025)
by: Zou, Muqi, et al.
Published: (2025)
Learning-based Models for Vulnerability Detection: An Extensive Study
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning
by: Steenhoek, Benjamin, et al.
Published: (2024)
by: Steenhoek, Benjamin, et al.
Published: (2024)
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
by: Gagnon, Charles E., et al.
Published: (2025)
by: Gagnon, Charles E., et al.
Published: (2025)
Efficient Software Vulnerability Detection Using Transformer-based Models
by: Shaik, Sameer, et al.
Published: (2026)
by: Shaik, Sameer, et al.
Published: (2026)
MVD: A Multi-Lingual Software Vulnerability Detection Framework
by: Zhang, Boyu, et al.
Published: (2024)
by: Zhang, Boyu, et al.
Published: (2024)
MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection
by: Zhang, Yuteng, et al.
Published: (2026)
by: Zhang, Yuteng, et al.
Published: (2026)
A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
by: Shi, Jingyi, et al.
Published: (2025)
by: Shi, Jingyi, et al.
Published: (2025)
I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
by: Liu, Zhenguang, et al.
Published: (2025)
by: Liu, Zhenguang, et al.
Published: (2025)
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
by: Daneshvar, Seyed Shayan, et al.
Published: (2025)
by: Daneshvar, Seyed Shayan, et al.
Published: (2025)
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
by: Luan, Xiaokun, et al.
Published: (2024)
by: Luan, Xiaokun, et al.
Published: (2024)
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
by: Bostani, Hamid, et al.
Published: (2024)
by: Bostani, Hamid, et al.
Published: (2024)
Similar Items
-
Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024) -
Cross-Inlining Binary Function Similarity Detection
by: Jia, Ang, et al.
Published: (2024) -
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
by: Wang, Hao, et al.
Published: (2024) -
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
by: Wang, Weizhou, et al.
Published: (2024) -
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024)