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A Targetable Machine Learning Model for Effective Vulnerability Repair in Smart Contracts

https://doi.org/10.2139/ssrn.5382161
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10515-023-00392-yopenalex-snapshot
Tips: towards automating patch suggestion for vulnerable smart contracts
inferredcites →https://doi.org/10.1109/access.2021.3140091openalex-snapshot
Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract
inferredcites →https://doi.org/10.1109/eurosp51992.2021.00018openalex-snapshot
ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534324openalex-snapshot
DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection
inferredcites →https://doi.org/10.1109/sp40000.2020.00024openalex-snapshot
VerX: Safety Verification of Smart Contracts
inferredcites →https://doi.org/10.1109/sp40001.2021.00057openalex-snapshot
SGUARD: Towards Fixing Vulnerable Smart Contracts Automatically
inferredcites →https://doi.org/10.1109/tse.2021.3123170openalex-snapshot
Aroc: An Automatic Repair Framework for On-Chain Smart Contracts
inferredcites →https://doi.org/10.1109/tse.2022.3147265openalex-snapshot
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
inferredcites →https://doi.org/10.1109/tse.2024.3400294openalex-snapshot
ContractCheck: Checking Ethereum Smart Contracts in Fine-Grained Level
inferredcites →https://doi.org/10.1145/2931037.2931051openalex-snapshot
Practitioners' expectations on automated fault localization
inferredcites →https://doi.org/10.1145/2976749.2978309openalex-snapshot
Making Smart Contracts Smarter
inferredcites →https://doi.org/10.1145/3293882.3330574openalex-snapshot
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization
inferredcites →https://doi.org/10.1145/3395363.3397385openalex-snapshot
How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection
inferredcites →https://doi.org/10.1145/3402450openalex-snapshot
Smart Contract Repair
inferredcites →https://doi.org/10.1145/3533767.3534395openalex-snapshot
Park: accelerating smart contract vulnerability detection via parallel-fork symbolic execution
inferredcites →https://doi.org/10.1145/3540250.3549098openalex-snapshot
VulRepair: a T5-based automated software vulnerability repair
inferredcites →https://doi.org/10.1145/3545948.3545975openalex-snapshot
Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts
inferredcites →https://doi.org/10.1145/3551349.3560428openalex-snapshot
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach
inferredcites →https://doi.org/10.1145/3611643.3616341openalex-snapshot
SmartFix: Fixing Vulnerable Smart Contracts by Accelerating Generate-and-Verify Repair using Statistical Models
inferredcites →https://doi.org/10.1145/3632746openalex-snapshot
Vision Transformer Inspired Automated Vulnerability Repair
inferredcites →https://doi.org/10.1145/3637229openalex-snapshot
Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization
inferredcites →https://doi.org/10.1145/3641846openalex-snapshot
sGuard+: Machine Learning Guided Rule-Based Automated Vulnerability Repair on Smart Contracts
inferredcites →https://doi.org/10.1145/3691620.3695349openalex-snapshot
ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
inferredcites →https://doi.org/10.1145/3708522openalex-snapshot
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
inferredcites →https://doi.org/10.1145/3716815.3729010openalex-snapshot
Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models
inferredcites →https://doi.org/10.2139/ssrn.3014782openalex-snapshot
Understanding a Revolutionary and Flawed Grand Experiment in Blockchain: The DAO Attack
inferredcites →https://doi.org/10.36227/techrxiv.14192459.v1openalex-snapshot
CONFUZZIUS: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts
inferredcites →https://doi.org/10.4018/jcit.2019010102openalex-snapshot
Understanding a Revolutionary and Flawed Grand Experiment in Blockchain
inferredcites →https://doi.org/10.48550/arxiv.2007.04771openalex-snapshot
SmartBugs: A Framework to Analyze Solidity Smart Contracts
inferredcites →https://doi.org/10.48550/arxiv.2010.00341openalex-snapshot
EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts
inferredcites →https://doi.org/10.48550/arxiv.2108.10071openalex-snapshot
Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts
inferredcites →https://doi.org/10.48550/arxiv.2307.08549openalex-snapshot
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts
inferredcites →https://doi.org/10.48550/arxiv.2307.08912openalex-snapshot
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts
inferredcites →https://doi.org/10.5281/zenodo.7080270openalex-snapshot
VulRepair: A T5-Based Automated Software Vulnerability Repair
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