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
Vulnerability Analysis
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
Vulnerability Prioritization: An Offensive Security Approach
Authors: Muhammed Fatih Bulut, Abdulhamid Adebayo, Daby Sow, Steve Ocepek | Published: 2022-06-22
Attack Techniques and Threat Identification for Vulnerabilities
Authors: Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta | Published: 2022-06-22
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Authors: Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty | Published: 2022-05-05
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
Authors: David Hin, Andrey Kan, Huaming Chen, M. Ali Babar | Published: 2022-03-10 | Updated: 2022-03-25