3 papers
cs.LG2026
Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms
Awa Khouna, Youssouf Emine, Julien Ferry +1
Trust in counterfactual explanations depends critically on whether their recommended changes are truly minimal: suboptimal explanations may vastly overshoot the actual changes need…
cs.LG2026
Counterfactual Maps: What They Are and How to Find Them
Awa Khouna, Julien Ferry, Thibaut Vidal
Counterfactual explanations are a central tool in interpretable machine learning, yet computing them exactly for complex models remains challenging. For tree ensembles, predictions…
cs.LG2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
The advent of Machine Learning as a Service (MLaaS) has heightened the trade-off between model explainability and security. In particular, explainability techniques, such as counte…