Detyniecki, Marcin
- The Dangers of Post-hoc Interpretability: Unjustified Counterfactual\n Explanations
2019/07/22 by Thibault Laugel, Laugel, Thibault, Marie‐Jeanne Lesot +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Defining Locality for Surrogates in Post-hoc Interpretablity
2018/06/19 by Thibault Laugel, Xavier Renard, Laugel, Thibault +7 · 6 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Inverse Classification for Comparison-based Interpretability in Machine Learning
2017/12/22 by Thibault Laugel, Marie‐Jeanne Lesot, Laugel, Thibault +7 · 6 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- Imperceptible Adversarial Attacks on Tabular Data
2019/11/08 by Ballet, Vincent, Renard, Xavier, Aigrain, Jonathan +3 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Unbiased Representations via Rényi Minimization
2020/09/07 by Grari, Vincent, Hajouji, Oualid El, Lamprier, Sylvain +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Why do explanations fail? A typology and discussion on failures in XAI
2024/05/22 by Clara Bove, Thibault Laugel, Bove, Clara +7 · 4 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Scientific Computing and Data Management #Semantic Web and Ontologies
- SAKE: Steering Activations for Knowledge Editing
2025/03/03 by Marco Scialanga, Thibault Laugel, Scialanga, Marco +5 · 4 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #E-Learning and Knowledge Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Wikis in Education and Collaboration
- Fair Adversarial Gradient Tree Boosting
2019/11/13 by Grari, Vincent, Ruf, Boris, Lamprier, Sylvain +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Issues with post-hoc counterfactual explanations: a discussion
2019/06/11 by Laugel, Thibault, Lesot, Marie-Jeanne, Marsala, Christophe +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice
2021/07/09 by Vermeire, Tom, Laugel, Thibault, Renard, Xavier +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Fair Pricing Model via Adversarial Learning
2022/02/24 by Vincent Grari, Arthur Charpentier, Grari, Vincent +3 · 1 citation
Economics, Econometrics and Finance · Social Sciences · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Insurance and Financial Risk Management #Insurance, Mortality, Demography, Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
2023/10/27 by Grari, Vincent, Laugel, Thibault, Hashimoto, Tatsunori +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)