4 papers
Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
Robert Aufschläger, Jakob Folz, Gautam Savaliya +3
Street-level imagery contains personally identifiable information (PII), some of which is context-dependent. Existing anonymization methods either over-process images or miss subtl…
PriMod4AI: Lifecycle-Aware Privacy Threat Modeling for AI Systems using LLM
Gautam Savaliya, Robert Aufschläger, Abhishek Subedi +2
Artificial intelligence systems introduce complex privacy risks throughout their lifecycle, especially when processing sensitive or high-dimensional data. Beyond the seven traditio…
Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence
Robert Aufschläger, Youssef Shoeb, Azarm Nowzad +3
The collection and release of street-level recordings as Open Data play a vital role in advancing autonomous driving systems and AI research. However, these datasets pose significa…
ClustEm4Ano: Clustering Text Embeddings of Nominal Textual Attributes for Microdata Anonymization
Robert Aufschläger, Sebastian Wilhelm, Michael Heigl +1
This work introduces ClustEm4Ano, an anonymization pipeline that can be used for generalization and suppression-based anonymization of nominal textual tabular data. It automaticall…