10 citations · 17 across the 9 of their papers we have counts for
11 papers
TESTNAV: Pareto-Guided Search for Compositional Robustness Testing
Arooj Arif, Tobias Hartung, Elena Botoeva +1
Deep learning models remain vulnerable to real-world input perturbations, especially when multiple corruptions co-occur in the same input (e.g., brightness shifts and motion blur).…
TestifAI: Tomography-Based Testing for Deep Learning Systems
Arooj Arif, Tobias Hartung, Elena Botoeva +1
As AI systems are increasingly deployed in safety-critical application domains (e.g., autonomous driving), associated risks increase too. Deep learning models underlying modern AI…
Towards a Standard for JSON Document Databases
Elena Botoeva, Julien Corman, Norman Townsend
In this technical report, we present a formalisation of the MongoDB aggregation framework. Our aim is to identify a fragment that could serve as the starting point for an industry-…
Facial Age Estimation: A Research Roadmap for Technological and Legal Development and Deployment
Richard Guest, Eva Lievens, Martin Sas +5
Automated facial age assessment systems operate in either estimation mode - predicting age based on facial traits, or verification mode - confirming a claimed age. These systems su…
Query Inseparability for ALC Ontologies
Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov +2
We investigate the problem whether two ALC ontologies are indistinguishable (or inseparable) by means of queries in a given signature, which is fundamental for ontology engineering…
Efficient Handling of SPARQL OPTIONAL for OBDA (Extended Version)
Guohui Xiao, Roman Kontchakov, Benjamin Cogrel +2
OPTIONAL is a key feature in SPARQL for dealing with missing information. While this operator is used extensively, it is also known for its complexity, which can make efficient eva…