Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties
César Sabater
,
Aurélien Bellet
,
Jan Ramon
2020
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
Journal articles
hal-01725971v1
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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.
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
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
Journal articles
hal-01461445v1
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Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm
Leander Schietgat
,
Bertrand Cuissart
,
Kurt De Grave
,
Kyriakos Efthymiadis
,
Ronan Bureau
,
et al.
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
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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
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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
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.
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
Journal articles
hal-01814675v1
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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.
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
2018
Other publications
hal-01879941v1
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