1 citations · 1 across the 4 of their papers we have counts for
4 papers
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
Mateusz Dziemian, Maxwell Lin, Xiaohan Fu +28
LLM based agents are increasingly deployed in high stakes settings where they process external data sources such as emails, documents, and code repositories. This creates exposure…
Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
Andy Zou, Maxwell Lin, Eliot Jones +14
Recent advances have enabled LLM-powered AI agents to autonomously execute complex tasks by combining language model reasoning with tools, memory, and web access. But can these sys…
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy
Marcel Roth, Micha V. Nowak, Adrian Krenzer +1
Video capsule endoscopy has transformed gastrointestinal endoscopy (GIE) diagnostics by offering a non-invasive method for capturing detailed images of the gastrointestinal tract,…
QBI: Quantile-Based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning
Micha V. Nowak, Tim P. Bott, David Khachaturov +3
Federated learning enables the training of machine learning models on distributed data without compromising user privacy, as data remains on personal devices and only model updates…