SC-Bench: A Large-Scale Dataset for Smart Contract Auditing
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Shihao, He, Mengting, Song, Linhai, Zhang, Yiying |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)
by: Xia, Shihao, et al.
Published: (2024)
SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models
by: Xia, Shihao, et al.
Published: (2025)
by: Xia, Shihao, et al.
Published: (2025)
Large Language Model based Smart Contract Auditing with LLMBugScanner
by: Yuan, Yining, et al.
Published: (2025)
by: Yuan, Yining, et al.
Published: (2025)
Adaptive Plan-Execute Framework for Smart Contract Security Auditing
by: Wei, Zhiyuan, et al.
Published: (2025)
by: Wei, Zhiyuan, et al.
Published: (2025)
SmartLLM: Smart Contract Auditing using Custom Generative AI
by: Kevin, Jun, et al.
Published: (2025)
by: Kevin, Jun, et al.
Published: (2025)
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs
by: Wei, Zhiyuan, et al.
Published: (2024)
by: Wei, Zhiyuan, et al.
Published: (2024)
Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)
by: Kong, Ziqiao, et al.
Published: (2026)
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
by: Wang, Lingxiang, et al.
Published: (2025)
by: Wang, Lingxiang, et al.
Published: (2025)
Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
by: Yu, Jeffy
Published: (2024)
by: Yu, Jeffy
Published: (2024)
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
by: Zaazaa, Oualid, et al.
Published: (2024)
by: Zaazaa, Oualid, et al.
Published: (2024)
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
by: Huang, Tenghui, et al.
Published: (2025)
by: Huang, Tenghui, et al.
Published: (2025)
AI Agent Smart Contract Exploit Generation
by: Gervais, Arthur, et al.
Published: (2025)
by: Gervais, Arthur, et al.
Published: (2025)
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
by: Zhang, Xing, et al.
Published: (2026)
by: Zhang, Xing, et al.
Published: (2026)
AI-Based Vulnerability Analysis of NFT Smart Contracts
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
by: Qin, Kaihua, et al.
Published: (2026)
by: Qin, Kaihua, et al.
Published: (2026)
Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
by: Peng, Hongli, et al.
Published: (2025)
by: Peng, Hongli, et al.
Published: (2025)
Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
by: Xiao, ZeKe, et al.
Published: (2025)
by: Xiao, ZeKe, et al.
Published: (2025)
Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
by: Zhou, Ying, et al.
Published: (2026)
by: Zhou, Ying, et al.
Published: (2026)
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
by: Van Woensel, William, et al.
Published: (2024)
by: Van Woensel, William, et al.
Published: (2024)
Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
by: Ozdag, Mesut
Published: (2025)
by: Ozdag, Mesut
Published: (2025)
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
A Trajectory-Based Safety Audit of Clawdbot (OpenClaw)
by: Chen, Tianyu, et al.
Published: (2026)
by: Chen, Tianyu, et al.
Published: (2026)
Evaluation of ChatGPT's Smart Contract Auditing Capabilities Based on Chain of Thought
by: Du, Yuying, et al.
Published: (2024)
by: Du, Yuying, et al.
Published: (2024)
Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm
by: Marino, Bill, et al.
Published: (2025)
by: Marino, Bill, et al.
Published: (2025)
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
by: Belarbi, Othmane, et al.
Published: (2025)
by: Belarbi, Othmane, et al.
Published: (2025)
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
by: Jing, Pengfei, et al.
Published: (2024)
by: Jing, Pengfei, et al.
Published: (2024)
Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
by: Chin, Jia Hui, et al.
Published: (2025)
by: Chin, Jia Hui, et al.
Published: (2025)
Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
by: Susan, Stefan-Claudiu, et al.
Published: (2026)
by: Susan, Stefan-Claudiu, et al.
Published: (2026)
LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
by: Wei, Zhiyuan, et al.
Published: (2024)
by: Wei, Zhiyuan, et al.
Published: (2024)
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
by: Liu, Xuxu, et al.
Published: (2025)
by: Liu, Xuxu, et al.
Published: (2025)
IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation
by: Guo, Yanpei, et al.
Published: (2026)
by: Guo, Yanpei, et al.
Published: (2026)
EVMbench: Evaluating AI Agents on Smart Contract Security
by: Wang, Justin, et al.
Published: (2026)
by: Wang, Justin, et al.
Published: (2026)
Prompt to Pwn: Automated Exploit Generation for Smart Contracts
by: Xiao, ZeKe, et al.
Published: (2025)
by: Xiao, ZeKe, et al.
Published: (2025)
PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say
by: Zhang, Mingxuan, et al.
Published: (2026)
by: Zhang, Mingxuan, et al.
Published: (2026)
DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective
by: Shao, Shuo, et al.
Published: (2025)
by: Shao, Shuo, et al.
Published: (2025)
Symmetry Defeats Auditing
by: Merrill, Nick, et al.
Published: (2026)
by: Merrill, Nick, et al.
Published: (2026)
A Comprehensive Study of Exploitable Patterns in Smart Contracts: From Vulnerability to Defense
by: Ding, Yuchen, et al.
Published: (2025)
by: Ding, Yuchen, et al.
Published: (2025)
Similar Items
-
AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024) -
SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models
by: Xia, Shihao, et al.
Published: (2025) -
Large Language Model based Smart Contract Auditing with LLMBugScanner
by: Yuan, Yining, et al.
Published: (2025) -
Adaptive Plan-Execute Framework for Smart Contract Security Auditing
by: Wei, Zhiyuan, et al.
Published: (2025) -
SmartLLM: Smart Contract Auditing using Custom Generative AI
by: Kevin, Jun, et al.
Published: (2025)