Adrian Wedd

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  Evaluating Current Large Language Model Sandboxing Methods Against Latent Vulnerabilities from Adversarial Multimodal Prompts
  1. Executive Summary This report evaluates the efficacy of current sandboxing methodologies for Large Language Models (LLMs) and identifies latent vulnerabilities that become exploitable through adversarial multimodal prompts. The analysis reveals that existing sandbox solutions primarily concentrate on mitigating risks associated with LLM-generated code, often inadequately addressing threats embedded within or delivered via complex multimodal inputs.… Read more: Evaluating Current Large Language Model Sandboxing Methods Against Latent Vulnerabilities from Adversarial Multimodal Prompts
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  The Oracle Deceived: An Investigation into the Evolving Threat of AI Model Jailbreaking in LLM-Powered Robotic Systems
  1. Introduction: The Double-Edged Sword of Robotic Intelligence The rapid integration of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) into robotic architectures marks a paradigm shift, promising unprecedented levels of autonomy and human-robot interaction. Robots, ranging from household assistants to sophisticated industrial agents, are increasingly leveraging these “digital oracles” for complex understanding, planning,… Read more: The Oracle Deceived: An Investigation into the Evolving Threat of AI Model Jailbreaking in LLM-Powered Robotic Systems
• TL;DR – The Oracle Deceived: LLM Jailbreaking in Robotic Systems: Threats & Defenses
  The Oracle Deceived: LLM Jailbreaking in Robotic Systems – Infographic The Oracle Deceived LLM Jailbreaking in Robotic Systems: Threats & Defenses The Double-Edged Sword of Robotic Intelligence The integration of Large Language Models (LLMs) into robotic systems promises unprecedented autonomy and interaction. However, this advancement carries significant peril: LLMs are vulnerable to “jailbreak” attacks. When an… Read more: TL;DR – The Oracle Deceived: LLM Jailbreaking in Robotic Systems: Threats & Defenses
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  Observations on the Art of Breaching and Securing Digital Oracles: Current Stratagems, Defensive Postures, and Future Vulnerabilities in Large Language Models
  I. Prologue: The Oracle’s Whisper and the Cracks in its Voice Large Language Models (LLMs) have emerged as potent “oracles” of the digital age, demonstrating remarkable capabilities in understanding, generating, and manipulating human language. Their proficiency often surpasses human performance on various benchmarks and extends across diverse domains, including natural language processing, program analysis, and even… Read more: Observations on the Art of Breaching and Securing Digital Oracles: Current Stratagems, Defensive Postures, and Future Vulnerabilities in Large Language Models