3 citations · 13 across the 19 of their papers we have counts for
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cs.LG2023★ 1 cited
The Pros and Cons of Adversarial Robustness
Yacine Izza, Joao Marques-Silva
Robustness is widely regarded as a fundamental problem in the analysis of machine learning (ML) models. Most often robustness equates with deciding the non-existence of adversarial…
cs.LG2023★ 1 cited
Locally-Minimal Probabilistic Explanations
Yacine Izza, Kuldeep S. Meel, Joao Marques-Silva
Explainable Artificial Intelligence (XAI) is widely regarding as a cornerstone of trustworthy AI. Unfortunately, most work on XAI offers no guarantees of rigor. In high-stakes doma…
cs.AI2023★ 2 cited
Refutation of Shapley Values for XAI -- Additional Evidence
Xuanxiang Huang, Joao Marques-Silva
Recent work demonstrated the inadequacy of Shapley values for explainable artificial intelligence (XAI). Although to disprove a theory a single counterexample suffices, a possible…