148 citations · 151 across the 12 of their papers we have counts for
4 papers · 1 filter
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
Hebatallah A. Mohamed, Sebastiano Vascon, Feliks Hibraj +4
Knowledge Graphs (KGs) have proven to be a reliable way of structuring data. They can provide a rich source of contextual information about cultural heritage collections. However,…
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis +7
The success of machine learning is fueled by the increasing availability of computing power and large training datasets. The training data is used to learn new models or update exi…
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis +3
One of the most concerning threats for modern AI systems is data poisoning, where the attacker injects maliciously crafted training data to corrupt the system's behavior at test ti…
Unsupervised Domain Adaptation using Graph Transduction Games
Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich +3
Unsupervised domain adaptation (UDA) amounts to assigning class labels to the unlabeled instances of a dataset from a target domain, using labeled instances of a dataset from a rel…