39 citations · 44 across the 3 of their papers we have counts for
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cs.LG2022★ 4 cited
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization
Javier Del Ser, Alejandro Barredo-Arrieta, Natalia Díaz-Rodríguez +2
There is a broad consensus on the importance of deep learning models in tasks involving complex data. Often, an adequate understanding of these models is required when focusing on…
cs.LG2020★ 1 cited
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
Alejandro Barredo-Arrieta, Javier Del Ser
The last decade has witnessed the proliferation of Deep Learning models in many applications, achieving unrivaled levels of predictive performance. Unfortunately, the black-box nat…