Brandon Dixon

Highlights from Last Week * 🧠 Metacognitive Myopia in Large Language Models  * 🪲 Learning-based Models for Vulnerability Detection: An Extensive Study * 📘 Natural Language Outlines for Code: Literate Programming in the LLM Era * 📛 AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset * 📊 Using Retriever Augmented Large Language Models for Attack Graph Generation

Highlights from Last Week * 📡 Towards Explainable Network Intrusion Detection using Large Language Models * 🧑‍💻 Harnessing the Power of LLMs in Source Code Vulnerability Detection * 🕵️ From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection * 🤖 From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future * 🐡 Automated Phishing Detection Using

Highlights from Last Week * 🔴 RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent * 🩺 CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models * ❤‍🩹 PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation * 📚 Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) * 🖐🏻 LLMmap: Fingerprinting

Highlights from Last Week * 😎 A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends * 🛍 On the (In)Security of LLM App Stores * 🦠 Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models * ⚠️ eyeballvul: a future-proof benchmark for vulnerability detection in the wild