Brandon Dixon

Highlights from Last Week * 📝 A survey of textual cyber abuse detection using cutting-edge language models and large language models * 🪲 Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware * 📦 FlipedRAG: Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models * 🌊 RAG-WM: An Efficient Black-Box Watermarking Approach for

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