Applied GAI in Security

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Brandon Dixon

Brandon Dixon

Brandon is a cybersecurity expert currently leading Security Copilot at Microsoft. He is known for creating PassiveTotal, Blockade.io, NinjaJobs, PDF X-Ray, and other opensource tools

Last Week in GAI Security Research - 09/09/24

Last Week in GAI Security Research - 09/09/24

Highlights from Last Week * 🐚 RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer * 🤖 SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems * 📰 LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts * 🎭 The Dark Side of Human Feedback: Poisoning Large Language Models via

Last Week in GAI Security Research - 09/02/24

Last Week in GAI Security Research - 09/02/24

Highlights from Last Week * 🤺 Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks * 🥀 Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models * 📧 Investigating the Effectiveness of Bayesian Spam Filters in Detecting LLM-modified Spam Mails * 🚪BackdoorLLM: A Comprehensive Benchmark for

Last Week in GAI Security Research - 08/26/24

Last Week in GAI Security Research - 08/26/24

Highlights from Last Week * 👮‍♂ MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models * ⚠️ While GitHub Copilot Excels at Coding, Does It Ensure Responsible Output? * 🔐 An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation * 🤖 CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher * 🦮 Perception-guided Jailbreak

Last Week in GAI Security Research - 08/19/24

Last Week in GAI Security Research - 08/19/24

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

Last Week in GAI Security Research - 08/12/24

Last Week in GAI Security Research - 08/12/24

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

Last Week in GAI Security Research - 08/05/24

Last Week in GAI Security Research - 08/05/24

Highlights from Last Week * 🧑‍⚖ Jailbreaking Text-to-Image Models with LLM-Based Agents * 🎣 From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks * 🤖 The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies * 🔊 Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification * 🏋🏼 Tamper-Resistant Safeguards for

Last Week in GAI Security Research - 07/29/24

Last Week in GAI Security Research - 07/29/24

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