3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Rising From the Ashes: How Agentic AI is Unblocking Challenges in Cybersecurity
Gabriela F. Ciocarlie, Kathrin Grosse, Somesh Jha +3
Security remains a high-cost challenge, with many problems historically deemed inefficient to address or effectively unsolvable. A significant number of these problems stem from la…
Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents
Kathrin Grosse, Nico Ebert
Recent improvement gains in large language models (LLMs) have lead to everyday usage of AI-based Conversational Agents (CAs). At the same time, LLMs are vulnerable to an array of t…
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
Daryna Oliynyk, Rudolf Mayer, Kathrin Grosse +1
Model stealing attacks endanger the confidentiality of machine learning models offered as a service. Although these models are kept secret, a malicious party can query a model to l…
Practice-Informed, Practice-Ready: An AI security incident taxonomy
Lukas Bieringer, Sean McGregor, Nicole Nichols +7
With the increasing prevalence of AI systems, several real-world AI security incidents have been reported. However, despite forthcoming legal mandates, the reporting and collection…