29 citations · 92 across the 18 of their papers we have counts for
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cs.AI2023
Protecting Publicly Available Data With Machine Learning Shortcuts
Nicolas M. Müller, Maximilian Burgert, Pascal Debus +3
Machine-learning (ML) shortcuts or spurious correlations are artifacts in datasets that lead to very good training and test performance but severely limit the model's generalizatio…
cs.AI2018
Deep Reinforcement Fuzzing
Konstantin Böttinger, Patrice Godefroid, Rishabh Singh
Fuzzing is the process of finding security vulnerabilities in input-processing code by repeatedly testing the code with modified inputs. In this paper, we formalize fuzzing as a re…