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Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties

César Sabater , Aurélien Bellet , Jan Ramon
Preprints, Working Papers, ... hal-03100019v1
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Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model

Irma Ravkic , Martiň Znidaršič , Jan Ramon , Jesse Davis
Data Mining and Knowledge Discovery, 2018, pp.36. ⟨10.1007/s10618-018-0553-2⟩
Journal articles hal-01725971v1

Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity

Julien Rabatel , Fannes Thomas , Alban Lepailleur , Jérémie Le Goff , Bruno Crémilleux , et al.
Molecular Informatics, 2017, Special Issue: Chemoinformatics in France, 36 (10), ⟨10.1002/minf.201700022⟩
Journal articles hal-01576894v1
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An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging

César Sabater , Aurélien Bellet , Jan Ramon
Machine Learning, 2022, ⟨10.1007/s10994-022-06267-9⟩
Journal articles hal-03820603v2
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Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies

Alberto Pedrouzo-Ulloa , Jan Ramon , Patrick Duflot , Fernando Pérez-González , Siyanna Lilova , et al.
IEEE CSR 2P-DPA workshop - Workshop on Privacy-Preserving Data Processing and Analysis, Jul 2023, Venice, Italy
Conference papers hal-04092216v1
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Guest editors introduction: special issue on inductive logic programming

Jesse Davis , Jan Ramon
Machine Learning, 2016, Special Issue on Inductive Logic Programming, 103, pp.307 - 308. ⟨10.1007/s10994-016-5561-0⟩
Journal articles hal-01461445v1

Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm

Leander Schietgat , Bertrand Cuissart , Kurt De Grave , Kyriakos Efthymiadis , Ronan Bureau , et al.
Molecular Informatics, In press, ⟨10.1002/minf.202200232⟩
Journal articles hal-03940446v1
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Bounds for Learning from Evolutionary-Related Data in the Realizable Case

Ondřej Kuželka , Yuyi Wang , Jan Ramon
International Joint Conference on Artificial Intelligence (IJCAI), Jul 2016, New York, United States
Conference papers hal-01422033v1
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Linear Programs with Conjunctive Queries

Florent Capelli , Nicolas Crosetti , Joachim Niehren , Jan Ramon
ICDT 2022 - 25th Internationcal Conference on Database Theory, Mar 2022, Edinburgh, United Kingdom
Conference papers hal-01981553v1
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Modeling Machine Learning and Data Mining Problems with FO(*)

Hendrik Blockeel , Bart Bogaerts , Maurice Bruynooghe , Broes de Cat , Stef de Pooter , et al.
The 28th International Conference on Logic Programming (ICLP'12), Sep 2012, Hungary. pp.14-25
Conference papers hal-00731459v1

A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data

Pierre Dellenbach , Jan Ramon , Aurélien Bellet
NIPS 2016 workshop on Private Multi-Party Machine Learning, Dec 2016, Barcelone, Spain
Conference papers hal-01384148v1
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On the Bernstein-Hoeffding method

Christos Pelekis , Jan Ramon , Yuyi Wang
Bulletin of the Hellenic Mathematical Society, 2018, 62, pp.31-43
Journal articles hal-01814651v1

Inductive Logic Programming

Jesse Davis , Jan Ramon
Books hal-01461460v1
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Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries

Pierre Dellenbach , Aurélien Bellet , Jan Ramon
[Research Report] Inria. 2018
Reports hal-01923000v1
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Hölder-type inequalities and their applications to concentration and correlation bounds

Christos Pelekis , Jan Ramon , Yuyi Wang
Indagationes Mathematicae, 2017, 28 (1), pp.170-182. ⟨10.1016/j.indag.2016.11.017⟩
Journal articles hal-01421953v1
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Learning from Networked Examples

Yuyi Wang , Zheng-Chu Guo , Jan Ramon
ALT 2017 - 28th conference on Algorithmic Learning Theory, Oct 2017, Kyoto, Japan. pp.1 - 26
Conference papers hal-02519274v1
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A method to translate privacy requirements into a configuration for privacy-preserving machine learning applied to multi-centric studies

Moitree Basu , Jan Ramon
French health data hub's AI4Health Winter School, Jan 2021, virtual, France
Poster communications hal-03964653v1
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A machine learning based framework to identify and classify long terminal repeat retrotransposons

Leander Schietgat , Celine Vens , Jan Ramon , Ricardo Cerri , Carlos N Fischer , et al.
PLoS Computational Biology, 2018, 14 (4), pp.1-21. ⟨10.1371/journal.pcbi.1006097⟩
Journal articles hal-01814669v1
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IncGraph: Incremental graphlet counting for topology optimisation

Robrecht Cannoodt , Joeri Ruyssinck , Jan Ramon , Katleen de Preter , Yvan Saeys
PLoS ONE, 2018, 13 (4), ⟨10.1371/journal.pone.0195997⟩
Journal articles hal-01814675v1

Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle

César Sabater , Aurélien Bellet , Jan Ramon
Conférence sur l'Apprentissage Automatique 2020, Jun 2020, Vannes (Virtual), France.
Poster communications hal-03117907v1
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Learning from partly observable time- dependent graphs

Jan Ramon
ECML/PKDD 2017 - Workshop on Time-Dependent Large-Scale Graphs, Sep 2017, Skopje, Macedonia
Conference papers hal-01721301v1
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Decentralised and Privacy-Aware Learning of Traversal Time Models

Thanh Le Van , Aurélien Bellet , Jan Ramon
ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation, Sep 2017, Skopje, Macedonia. pp.1-5
Conference papers hal-01666739v1
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Private Sampling with Identifiable Cheaters

César Sabater , Florian Hahn , Andreas Peter , Jan Ramon
Proceedings on Privacy Enhancing Technologies, In press, 2023 (2)
Journal articles hal-03904200v1
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Comparing chemical fingerprints for ecotoxicology

Leander Schietgat , Bertrand Cuissart , Alban Lepailleur , Kurt de Grave , Bruno Crémilleux , et al.
6èmes journées de la Société Française de Chémoinformatique, Oct 2013, Nancy, France
Conference papers hal-01023845v1
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Interpretable privacy with optimizable utility

Jan Ramon , Moitree Basu
ECML PKDD 2020 - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium
Conference papers hal-02950994v1
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Designing biomedical proteomics experiments: state-of-the-art and future perspectives

Evelyne Maes , Pieter Kelchtermans , Wout Bittremieux , Kurt de Grave , Sven Degroeve , et al.
Expert Review of Proteomics, 2016, ⟨10.1586/14789450.2016.1172967⟩
Journal articles hal-01431414v1
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Mine 'Em All: A Note on Mining All Graphs

Ondřej Kuželka , Jan Ramon
25th International Conference on Inductive Logic Programming, Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto, Aug 2015, Kyoto, Japan
Conference papers hal-01321448v1
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Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast

Anthony Coutant , Katherine Roper , Daniel Trejo-Banos , Dominique Bouthinon , Martin Carpenter , et al.
Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Journal articles hal-02297702v1
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Zero Knowledge Arguments for Verifiable Sampling

César Sabater , Jan Ramon
NeurIPS 2021 Workshop Privacy in Machine Learning, Dec 2021, Sydney (Virtual), Australia.
Poster communications hal-03464840v1
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Exploiting traffic data

Jan Ramon
Other publications hal-01879941v1