News

Highlights from Last Week * 🧮 Jailbreaking Large Language Models with Symbolic Mathematics * ❇ AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing * 📨 Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach * 🧑‍💻 Hacking, The Lazy Way: LLM Augmented Pentesting * 📝 CoCA: Regaining Safety-awareness of Multimodal Large Language Models

Highlights from Last Week * 🍯 LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems * 🔎 Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches * ⛑️ LLM-Enhanced Software Patch Localization * 🔒 A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage * 📒 Using Large Language Models for Template Detection

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

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

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

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