Brandon Dixon

Highlights from Last Week * 🌨 Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense * ♠️ SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering * 🎼 On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs  * 🔒 TrustRAG: Enhancing Robustness and Trustworthiness in RAG * 😎 SafeSynthDP: Leveraging

Highlights from Last Week * 📰 Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation * 📏 Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI Refactoring * 🛠️ Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation * 🤖 SpearBot: Leveraging Large Language Models in a

Highlights from Last Week * 🙅 Trust No AI: Prompt Injection Along The CIA Security Triad  * 🔁 Enhancing Adversarial Resistance in LLMs with Recursion  * 🕰 Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting * 🐇 MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents * 🎭 From Allies to Adversaries: Manipulating LLM Tool-Calling through

Highlights from Last Week * 🚸 Trust & Safety of LLMs and LLMs in Trust & Safety * 🤓 Hacking CTFs with Plain Agents  * 👻 Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design * 📇 OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation * 📊 AI Benchmarks and Datasets for LLM Evaluation Partner

Highlights from Last Week * 📚 EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code  * 👤 Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation * ☣️ Knowledge Database or Poison Base? Detecting RAG Poisoning Attack through LLM Activations * 🏛 Fine-Tuning LLMs with Noisy Data for Political