Brandon Dixon

Highlights from Last Week * 💦 RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage  * 💰 Auditing Prompt Caching in Language Model APIs * 🤖 Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks * 🔊 Improving Acoustic Side-Channel Attacks on Keyboards Using Transformers and Large Language Models * 🧠 On the Emergence of Thinking in

Highlights from Last Week * ☣️ Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation * 🥡 LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations * 🤓 Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks * 📐 Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs * 🦥 OverThink:

Highlights from Last Week * 🎩 Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM Judges  * 🌐 On the Feasibility of Using LLMs to Execute Multistage Network Attacks  * 🦄 Comparing Human and LLM Generated Code: The Jury is Still Out! * 🏛 Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours

Highlights from Last Week * 🧑‍🔧️ An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts * 🎶 Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak * 🦺 Can Safety Fine-Tuning Be More Principled? Lessons Learned

Highlights from Last Week * 😡 AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages * 🧙 Gandalf the Red: Adaptive Security for LLMs * 🧭 I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution * 🗳 Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards Partner Content Pillar