26 citations · 70 across the 13 of their papers we have counts for
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3 papers · 1 filter
cs.LG2019★ 1 cited
Adversarial Edit Attacks for Tree Data
Benjamin Paaßen
Many machine learning models can be attacked with adversarial examples, i.e. inputs close to correctly classified examples that are classified incorrectly. However, most research o…
cs.LG2019★ 3 cited
Embeddings and Representation Learning for Structured Data
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli +1
Performing machine learning on structured data is complicated by the fact that such data does not have vectorial form. Therefore, multiple approaches have emerged to construct vect…
cs.LG2019★ 9 cited
Dynamic fairness - Breaking vicious cycles in automatic decision making
Benjamin Paaßen, Astrid Bunge, Carolin Hainke +2
In recent years, machine learning techniques have been increasingly applied in sensitive decision making processes, raising fairness concerns. Past research has shown that machine…