LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
Authors: Chaofan Shou, Jing Liu, Doudou Lu, Koushik Sen | Published: 2024-01-20
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LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts
Authors: Shoupeng Ren, Lipeng He, Tianyu Tu, Di Wu, Jian Liu, Kui Ren, Chun Chen | Published: 2024-01-14 | Updated: 2025-04-02
Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding
Authors: André Storhaug, Jingyue Li, Tianyuan Hu | Published: 2023-09-18 | Updated: 2023-10-06
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Authors: Qi Li, Zhuotao Liu, Qi Li, Ke Xu | Published: 2023-09-03 | Updated: 2024-05-09
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts
Authors: Christoph Sendner, Ruisi Zhang, Alexander Hefter, Alexandra Dmitrienko, Farinaz Koushanfar | Published: 2023-07-17
Do you still need a manual smart contract audit?
Authors: Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais | Published: 2023-06-21 | Updated: 2023-06-22
Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance
Authors: Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet | Published: 2022-06-09
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Authors: Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann | Published: 2022-04-08
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning
Authors: Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani | Published: 2022-04-04
xFuzz: Machine Learning Guided Cross-Contract Fuzzing
Authors: Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao | Published: 2021-11-24 | Updated: 2022-06-30