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cs.LG2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
Geraldin Nanfack, Alexander Fulleringer, Jonathan Marty +2
The internal functional behavior of trained Deep Neural Networks is notoriously difficult to interpret. Activation-maximization approaches are one set of techniques used to interpr…
cs.LG2023★ 3 cited
An Experimental Investigation into the Evaluation of Explainability Methods
Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack +7
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerg…