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 - 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

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

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

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

Last Week in GAI Security Research - 07/22/24

Last Week in GAI Security Research - 07/22/24

🎰 Blackhat 2024 is coming up on August 3-8th! If you intend to be in Las Vegas for the annual security conference and want to discuss generative AI applied to security use cases, send me an email. I will be speaking on one of the panels in the AI Summit

Last Week in GAI Security Research - 07/15/24

Last Week in GAI Security Research - 07/15/24

Highlights from Last Week * 😎 A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends * 🛍 On the (In)Security of LLM App Stores * 🦠 Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models * ⚠️ eyeballvul: a future-proof benchmark for vulnerability detection

Last Week in GAI Security Research - 07/08/24

Last Week in GAI Security Research - 07/08/24

Highlights from Last Week * 🪤 JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets * 🦙 Badllama 3: removing safety finetuning from Llama 3 in minutes * 🖇 Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models * 🧑‍💻 Enhancing the Capability and Robustness of Large Language Models