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Zakaria Chihani
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2020 – today
- 2024
- [j2]Juliette Mattioli, Henri Sohier, Agnès Delaborde, Kahina Amokrane-Ferka, Afef Awadid, Zakaria Chihani, Souhaiel Khalfaoui, Gabriel Pedroza:
An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering. AI Ethics 4(1): 15-25 (2024) - [c19]Zakaria Chihani
:
Trustworthy AI: Industry-Guided Tooling of the Methods. CAIN 2024: 245-246 - [c18]Mohamed Ibn Khedher, Afef Awadid, Augustin Lemesle, Zakaria Chihani:
On the Formal Robustness Evaluation for AI-based Industrial Systems. MODELSWARD 2024: 311-321 - [c17]Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard-Satabin, Zakaria Chihani:
CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 265-272 - [i13]Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard, Zakaria Chihani:
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models. CoRR abs/2409.16693 (2024) - [i12]Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban:
On Using Certified Training towards Empirical Robustness. CoRR abs/2410.01617 (2024) - 2023
- [c16]Juliette Mattioli, Henri Sohier, Agnès Delaborde, Gabriel Pedroza, Kahina Amokrane-Ferka, Afef Awadid, Zakaria Chihani, Souhaiel Khalfaoui:
Towards a holistic approach for AI trustworthiness assessment based upon aids for multi-criteria aggregation. SafeAI@AAAI 2023 - [c15]Romain Xu-Darme
On the stability, correctness and plausibility of visual explanation methods based on feature importance. CBMI 2023: 119-125 - [c14]Alberto Pedrouzo-Ulloa
Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies. CSR 2023: 604-611 - [c13]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks for patch visualisation in prototype-based image classification. CVPR Workshops 2023: 3691-3696 - [c12]Augustin Lemesle, Aymeric Varasse, Zakaria Chihani, Dominique Tachet:
AIMOS: Metamorphic Testing of AI - An Industrial Application. SAFECOMP Workshops 2023: 328-340 - [c11]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection Using Pattern Identification. SAFECOMP Workshops 2023: 423-435 - [i11]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks and improvements for patch visualisation in prototype-based image classification. CoRR abs/2302.08508 (2023) - [i10]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Interpretable Out-Of-Distribution Detection Using Pattern Identification. CoRR abs/2302.10303 (2023) - [i9]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection using Pattern Identication. CoRR abs/2311.12855 (2023) - [i8]Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov:
On the stability, correctness and plausibility of visual explanation methods based on feature importance. CoRR abs/2311.12860 (2023) - [i7]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks for patch visualisation in prototype-based image classification. CoRR abs/2311.16120 (2023) - 2022
- [c10]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
PARTICUL: Part Identification with Confidence Measure Using Unsupervised Learning. ICPR Workshops (3) 2022: 173-187 - [c9]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. AISafety@IJCAI 2022 - [i6]Julien Girard-Satabin, Michele Alberti, François Bobot, Zakaria Chihani, Augustin Lemesle:
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness. CoRR abs/2206.03044 (2022) - [i5]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning. CoRR abs/2206.13304 (2022) - 2021
- [i4]Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR abs/2105.07776 (2021) - 2020
- [c8]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI 2020: 2497-2504
2010 – 2019
- 2019
- [i3]Julien Girard-Satabin, Guillaume Charpiat
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR abs/1911.10735 (2019) - 2017
- [j1]Zakaria Chihani, Dale Miller
A Semantic Framework for Proof Evidence. J. Autom. Reason. 59(3): 287-330 (2017) - [c7]Roberto Blanco, Zakaria Chihani, Dale Miller
Translating Between Implicit and Explicit Versions of Proof. CADE 2017: 255-273 - [c6]Zakaria Chihani, Bruno Marre, François Bobot
Sharpening Constraint Programming Approaches for Bit-Vector Theory. CPAIOR 2017: 3-20 - [c5]François Bobot, Zakaria Chihani, Bruno Marre:
Real Behavior of Floating Point. SMT 2017: 50-62 - [i2]Zakaria Chihani, François Bobot, Sébastien Bardin:
CDCL-inspired Word-level Learning for Bit-vector Constraint Solving. CoRR abs/1706.09229 (2017) - 2015
- [c4]Zakaria Chihani, Tomer Libal
The Proof Certifier Checkers. TABLEAUX 2015: 201-210 - [c3]Zakaria Chihani, Dale Miller
Proof Certificates for Equality Reasoning. LSFA 2015: 93-108 - [i1]Danko Ilik
The Exp-Log Normal Form of Types and Canonical Terms for Lambda Calculus with Sums. CoRR abs/1502.04634 (2015) - 2013
- [c2]Zakaria Chihani, Dale Miller, Fabien Renaud:
Checking Foundational Proof Certificates for First-Order Logic (Extended Abstract). PxTP@CADE 2013: 58-66 - [c1]Zakaria Chihani, Dale Miller
Foundational Proof Certificates in First-Order Logic. CADE 2013: 162-177
Coauthor Index
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last updated on 2024-11-11 21:32 CET by the dblp team
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