3 citations · 3 across the 5 of their papers we have counts for
6 papers
Cisco Integrated AI Security and Safety Framework Report
Amy Chang, Tiffany Saade, Sanket Mendapara +2
Artificial intelligence (AI) systems are being readily and rapidly adopted, increasingly permeating critical domains: from consumer platforms and enterprise software to networked s…
Toward Quantitative Modeling of Cybersecurity Risks Due to AI Misuse
Steve Barrett, Malcolm Murray, Otter Quarks +17
Advanced AI systems offer substantial benefits but also introduce risks. In 2025, AI-enabled cyber offense has emerged as a concrete example. This technical report applies a quanti…
Death by a Thousand Prompts: Open Model Vulnerability Analysis
Amy Chang, Nicholas Conley, Harish Santhanalakshmi Ganesan +1
Open-weight models provide researchers and developers with accessible foundations for diverse downstream applications. We tested the safety and security postures of eight open-weig…
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks
Adam Swanda, Amy Chang, Alexander Chen +3
The widespread adoption of Large Language Models (LLMs) has revolutionized AI deployment, enabling autonomous and semi-autonomous applications across industries through intuitive l…
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Paul Kassianik, Baturay Saglam, Alexander Chen +15
As transformer-based large language models (LLMs) increasingly permeate society, they have revolutionized domains such as software engineering, creative writing, and digital arts.…
LLM Cyber Evaluations Don't Capture Real-World Risk
Kamilė Lukošiūtė, Adam Swanda
Large language models (LLMs) are demonstrating increasing prowess in cybersecurity applications, creating creating inherent risks alongside their potential for strengthening defens…