Brandon Dixon

Highlights from Last Week * 🧑‍💻️ Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering  * 🐝 CAI: An Open, Bug Bounty-Ready Cybersecurity AI * 🔃 Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models * 🧘 CTI-HAL: A Human-Annotated Dataset for Cyber Threat Intelligence Analysis * 🤑 Are You Getting What You Pay

Highlights from Last Week * 🔐 Encrypted Prompt: Securing LLM Applications Against Unauthorized Actions * 💬 Multilingual and Multi-Accent Jailbreaking of Audio LLMs * 🪲 MaLAware: Automating the Comprehension of Malicious Software Behaviors using Large Language Models (LLMs)  * ⏳️ Output Constraints as Attack Surface: Exploiting Structured Generation to Bypass LLM Safety Mechanisms Partner Content Pillar Security is

Highlights from Last Week * 🚒 Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts  * 📶 Large Language Models powered Network Attack Detection: Architecture, Opportunities and Case Study * 🎭 Inducing Personality in LLM-Based Honeypot Agents: Measuring the Effect on Human-Like Agenda Generation * 🐠 EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability

Highlights from Last Week * 💻 Multi-Agent Systems Execute Arbitrary Malicious Code  * 😘 XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants * 🗺 Mapping the Trust Terrain: LLMs in Software Engineering – Insights and Perspectives  * 🧶 ELTEX: A Framework for Domain-Driven Synthetic Data Generation  * 🦮 Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval  Partner Content Pillar Security

Highlights from Last Week * 📜 A Survey on Trustworthy LLM Agents: Threats and Countermeasures * 🗡️ KNighter: Transforming Static Analysis with LLM-Synthesized Checkers * 🎛 Control Flow-Augmented Decompiler based on Large Language Model * 🐡 Large Language Models-Aided Program Debloating  * 🚂 MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming  * 🔐 Privacy Auditing of Large Language

Highlights from Last Week * 🖊 RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents * ⭕ Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals * 🛡 Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents * 🚧 LongSafety: Evaluating Long-Context Safety of Large Language Models * 🕸 Why Are