Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
Authors: Jiuyang Bu, Wenkai Li, Zongwei Li, Zeng Zhang, Xiaoqi Li | Published: 2025-04-07
脆弱性分析
Generative Large Language Model usage in Smart Contract Vulnerability Detection
Authors: Peter Ince, Jiangshan Yu, Joseph K. Liu, Xiaoning Du | Published: 2025-04-07
Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests
Authors: John Naulty, Eason Chen, Joy Wang, George Digkas, Kostas Chalkias | Published: 2025-03-21
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Authors: Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang | Published: 2024-03-05 | Updated: 2024-08-04
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
Authors: Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu | Published: 2023-12-21 | Updated: 2025-01-27
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Authors: Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas, Sheikh Iqbal Ahamed, Alfredo Cuzzocrea | Published: 2023-06-01
Measuring and Modeling the Free Content Web
Authors: Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, and David Mohaisen | Published: 2023-04-26
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity
Authors: Khatoon Mohammed | Published: 2023-02-24 | Updated: 2024-03-02
Large Language Models for Code: Security Hardening and Adversarial Testing
Authors: Jingxuan He, Martin Vechev | Published: 2023-02-10 | Updated: 2024-08-16
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
Authors: Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz | Published: 2023-02-08 | Updated: 2023-10-23